CN110789358A - Electric automobile - Google Patents

Electric automobile Download PDF

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Publication number
CN110789358A
CN110789358A CN201911079032.4A CN201911079032A CN110789358A CN 110789358 A CN110789358 A CN 110789358A CN 201911079032 A CN201911079032 A CN 201911079032A CN 110789358 A CN110789358 A CN 110789358A
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image
automobile
unit
threshold
processed
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陈丽丽
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L8/00—Electric propulsion with power supply from forces of nature, e.g. sun or wind
    • B60L8/003—Converting light into electric energy, e.g. by using photo-voltaic systems
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L50/00—Electric propulsion with power supplied within the vehicle
    • B60L50/50—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells
    • B60L50/60—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells using power supplied by batteries
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R11/00—Arrangements for holding or mounting articles, not otherwise provided for
    • B60R11/04—Mounting of cameras operative during drive; Arrangement of controls thereof relative to the vehicle
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R11/00—Arrangements for holding or mounting articles, not otherwise provided for
    • B60R2011/0001—Arrangements for holding or mounting articles, not otherwise provided for characterised by position
    • B60R2011/004—Arrangements for holding or mounting articles, not otherwise provided for characterised by position outside the vehicle
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20024—Filtering details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details
    • G06T2207/20192—Edge enhancement; Edge preservation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30248—Vehicle exterior or interior
    • G06T2207/30252—Vehicle exterior; Vicinity of vehicle
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Closed-Circuit Television Systems (AREA)

Abstract

The present invention provides an electric vehicle, including: the automobile comprises an automobile body, wherein luggage racks are arranged on two sides of the top of the automobile body, a solar panel is arranged between the two luggage racks, and the solar panel is connected with a storage battery in the automobile body. According to the electric automobile, the solar panel is arranged between the roof racks, so that power supply and energy storage can be performed on the storage battery in the automobile body, and the integral cruising ability of the electric automobile is effectively improved.

Description

Electric automobile
Technical Field
The invention relates to an automobile, in particular to an electric automobile.
Background
The electric automobile is a vehicle which takes a vehicle-mounted power supply as power and drives wheels to run by using a motor, and meets various requirements of road traffic and safety regulations. The automobile has a small influence on the environment, so that the prospect is widely seen, but the current technology is not mature. Compared with a fuel automobile, the main difference of the pure electric automobile is four parts, namely a driving motor, a speed regulation controller, a power battery and a vehicle-mounted charger. Compared with a gas station, the system is provided with a public ultrafast charging station.
Types of electric vehicles: a pure electric vehicle (BEV), a Hybrid Electric Vehicle (HEV), and a fuel cell vehicle (FCEV). The quality difference of the pure electric vehicle depends on the four large components, and the value of the pure electric vehicle also depends on the quality of the four large components. The usage of the pure electric vehicle is also directly related to the selection and the configuration of four parts, and the length of the driving range of the electric vehicle depends on the capacity of a vehicle-mounted power battery.
Disclosure of Invention
Technical problem to be solved
The invention aims to provide an electric automobile with a solar panel arranged between luggage racks on the top of the automobile.
(II) technical scheme
In order to solve the above technical problem, the present invention provides an electric vehicle, including: the automobile comprises an automobile body, wherein luggage racks are arranged on two sides of the top of the automobile body, a solar panel is arranged between the two luggage racks, and the solar panel is connected with a storage battery in the automobile body. The solar panel is installed between the roof luggage racks of the electric automobile, so that the storage battery inside the automobile body can be powered and stored, and the overall cruising ability of the electric automobile is effectively improved.
Compared with the traditional fuel oil automobile, the electric automobile has the advantages that the overall operation principle is simpler and more convenient, the storage battery in the automobile directly drives the automobile to move, an engine, an oil supply system and the like are omitted compared with the fuel oil automobile, and the electric automobile is environment-friendly and energy-saving. The battery endurance of the electric automobile needs to be improved, and the automobile intellectualization is a great development direction of the electric automobile, such as unmanned driving and the like. The automobile is inevitably in a running process, problems are met, the automobile needs to be parked and overhauled, a fault signboard needs to be arranged after the automobile is parked, the fault signboard is conventional emergency equipment on the automobile, a passive light reflecting body made of a plastic light reflecting material is generally in a triangular shape, and the automobile is also called a triangular warning board. Most of the existing automobiles do not have intelligent identification on the fault signboard, and whether fault vehicles exist in the front of the automobile or not can not be effectively determined, particularly when the automobiles are on a highway, serious traffic accidents such as rear-end collision can be caused if the automobiles cannot effectively avoid the front accident vehicles in time. Therefore, the electric vehicle according to the present embodiment further includes:
the roof camera is used for carrying out image acquisition facing the front of the electric automobile so as to obtain and output a corresponding automobile front image;
the data extraction unit is connected with the roof camera and used for receiving the image in front of the automobile, determining an integral segmentation threshold corresponding to the image in front of the automobile based on the distribution condition of pixel values of each pixel point in the image in front of the automobile, and performing contrast analysis on the image in front of the automobile to obtain and output corresponding contrast;
the fragment processing unit is connected with the data extraction unit and used for receiving the contrast, performing image segmentation processing on the image in front of the automobile on the basis of the contrast to obtain a plurality of fragments, determining a region segmentation threshold corresponding to each fragment on the basis of the distribution condition of pixel values of each pixel point in each fragment, obtaining each region segmentation threshold corresponding to each fragment, performing numerical adjustment on each region segmentation threshold on the basis of the whole segmentation threshold, obtaining each adjusted region segmentation threshold as each region adjustment threshold, and performing segmentation processing on each fragment by adopting the corresponding region adjustment threshold to obtain corresponding foreground fragments, and combining all foreground fragments to obtain and output a foreground image;
and the wavelet filtering unit is connected with the fragment processing unit and used for receiving the foreground image, identifying the signal-to-noise ratio in the foreground image, and selecting a wavelet basis with corresponding dimensionality to perform wavelet filtering processing on the foreground image based on the identified signal-to-noise ratio so as to obtain and output a corresponding image to be processed.
Further, the electric vehicle further includes:
the frequency band analysis unit is connected with the wavelet filtering unit and used for receiving the image to be processed, dividing a frequency domain into a plurality of uniform frequency bands, performing frequency domain analysis on the image to be processed to determine one or more frequency bands occupied by the image to be processed and located in a high-frequency range, and outputting the one or more frequency bands as one or more detected frequency bands;
the contour acquisition unit is connected with the frequency band analysis unit and is used for receiving the image to be processed and the one or more detected frequency bands, filtering corresponding signals of the one or more detected frequency bands from the image to be processed to obtain and output a residual contour image, and outputting an image obtained by stripping the residual contour image from the image to be processed as a detail detection image;
the edge enhancement unit is connected with the contour acquisition unit and used for receiving the image to be processed, the residual contour image and the detail detection image, measuring the signal-to-noise ratio of the image to be processed, executing edge enhancement processing with different intensities on the detail detection image based on the signal-to-noise ratio to obtain a corresponding edge processing image, and performing frequency domain combination processing on the edge processing image and the residual contour image to obtain a corresponding image to be processed and outputting the image to be detected; the performing different-intensity edge enhancement processing on the detail detection image based on the signal-to-noise ratio magnitude comprises: the greater the signal-to-noise ratio, the less the intensity of edge enhancement processing performed on the detail detection image;
the signboard detection unit is connected with the edge enhancement unit and used for receiving the image to be detected, extracting and segmenting the fault sign of the image to be detected based on a preset triangular symbol, and sending a sign detection success signal when the infrared component of the pixel point of the segmented fault sign region is greater than or equal to a preset threshold value;
wherein, in the fragment processing unit, performing numerical adjustment on each region segmentation threshold based on the whole segmentation threshold respectively includes: and for the region division threshold of each fragment, performing numerical adjustment on the region division threshold based on the difference value from the whole division threshold to the region division threshold, calculating one half of the difference value to obtain an adjustment factor, wherein the adjusted region division threshold is the result of adding the region division threshold and the adjustment factor.
Further, in the fragment processing unit, the higher the contrast is, the greater the number of fragments obtained; and the signboard detection unit is also used for sending out an identification detection failure signal when the infrared component of the pixel point of the segmented fault identification area is smaller than the preset threshold value.
Furthermore, the signboard detecting unit is also used for sending out a sign detection failure signal when the signboard is not divided into the fault sign area.
(III) advantageous effects
According to the electric automobile, the solar panel is arranged between the roof racks, so that power supply and energy storage can be performed on the storage battery in the automobile body, and the integral cruising ability of the electric automobile is effectively improved.
Drawings
FIG. 1 is a schematic structural diagram of an electric vehicle according to the present invention;
wherein: 1 is the car body, 2 is the luggage rack, 3 is solar panel.
Detailed Description
Referring to fig. 1, the present invention provides an electric vehicle including: the automobile comprises an automobile body 1, wherein luggage racks 2 are arranged on two sides of the top of the automobile body 1, a solar panel 3 is arranged between the two luggage racks 2, and the solar panel 3 is connected with a storage battery in the automobile body 1.
The solar panel is installed between roof luggage rack to this embodiment electric automobile, can supply power and energy storage to the inside battery of car body, has effectively improved the holistic duration of electric automobile.
Compared with the traditional fuel oil automobile, the electric automobile has the advantages that the overall operation principle is simpler and more convenient, the storage battery in the automobile directly drives the automobile to move, an engine, an oil supply system and the like are omitted compared with the fuel oil automobile, and the electric automobile is environment-friendly and energy-saving. The battery endurance of the electric automobile needs to be improved, and the automobile intellectualization is a great development direction of the electric automobile, such as unmanned driving and the like. The automobile is inevitably in a running process, problems are met, the automobile needs to be parked and overhauled, a fault signboard needs to be arranged after the automobile is parked, the fault signboard is conventional emergency equipment on the automobile, a passive light reflecting body made of a plastic light reflecting material is generally in a triangular shape, and the automobile is also called a triangular warning board. Most of the existing automobiles do not have intelligent identification on the fault signboard, and whether fault vehicles exist in the front of the automobile or not can not be effectively determined, particularly when the automobiles are on a highway, serious traffic accidents such as rear-end collision can be caused if the automobiles cannot effectively avoid the front accident vehicles in time. Therefore, the electric vehicle of the present embodiment further includes:
the roof camera is used for carrying out image acquisition facing the front of the electric automobile so as to obtain and output a corresponding automobile front image;
the data extraction unit is connected with the roof camera and used for receiving the image in front of the automobile, determining an integral segmentation threshold corresponding to the image in front of the automobile based on the distribution condition of pixel values of each pixel point in the image in front of the automobile, and performing contrast analysis on the image in front of the automobile to obtain and output corresponding contrast;
the fragment processing unit is connected with the data extraction unit and used for receiving the contrast, performing image segmentation processing on the image in front of the automobile on the basis of the contrast to obtain a plurality of fragments, determining a region segmentation threshold corresponding to each fragment on the basis of the distribution condition of pixel values of each pixel point in each fragment, obtaining each region segmentation threshold corresponding to each fragment, performing numerical adjustment on each region segmentation threshold on the basis of the whole segmentation threshold, obtaining each adjusted region segmentation threshold as each region adjustment threshold, and performing segmentation processing on each fragment by adopting the corresponding region adjustment threshold to obtain corresponding foreground fragments, and combining all foreground fragments to obtain and output a foreground image;
and the wavelet filtering unit is connected with the fragment processing unit and used for receiving the foreground image, identifying the signal-to-noise ratio in the foreground image, and selecting a wavelet basis with corresponding dimensionality to perform wavelet filtering processing on the foreground image based on the identified signal-to-noise ratio so as to obtain and output a corresponding image to be processed.
The electric vehicle further includes:
the frequency band analysis unit is connected with the wavelet filtering unit and used for receiving the image to be processed, dividing a frequency domain into a plurality of uniform frequency bands, performing frequency domain analysis on the image to be processed to determine one or more frequency bands occupied by the image to be processed and located in a high-frequency range, and outputting the one or more frequency bands as one or more detected frequency bands;
the contour acquisition unit is connected with the frequency band analysis unit and is used for receiving the image to be processed and the one or more detected frequency bands, filtering corresponding signals of the one or more detected frequency bands from the image to be processed to obtain and output a residual contour image, and outputting an image obtained by stripping the residual contour image from the image to be processed as a detail detection image;
the edge enhancement unit is connected with the contour acquisition unit and used for receiving the image to be processed, the residual contour image and the detail detection image, measuring the signal-to-noise ratio of the image to be processed, executing edge enhancement processing with different intensities on the detail detection image based on the signal-to-noise ratio to obtain a corresponding edge processing image, and performing frequency domain combination processing on the edge processing image and the residual contour image to obtain a corresponding image to be processed and outputting the image to be detected; the performing different-intensity edge enhancement processing on the detail detection image based on the signal-to-noise ratio magnitude comprises: the greater the signal-to-noise ratio, the less the intensity of edge enhancement processing performed on the detail detection image;
the signboard detection unit is connected with the edge enhancement unit and used for receiving the image to be detected, extracting and segmenting the fault sign of the image to be detected based on a preset triangular symbol, and sending a sign detection success signal when the infrared component of the pixel point of the segmented fault sign region is greater than or equal to a preset threshold value; so that the driver can make an emergency treatment response in advance.
Wherein, in the fragment processing unit, performing numerical adjustment on each region segmentation threshold based on the whole segmentation threshold respectively includes: and for the region division threshold of each fragment, performing numerical adjustment on the region division threshold based on the difference value from the whole division threshold to the region division threshold, calculating one half of the difference value to obtain an adjustment factor, wherein the adjusted region division threshold is the result of adding the region division threshold and the adjustment factor.
In the fragment processing unit, the higher the contrast is, the greater the number of fragments obtained; and the signboard detection unit is also used for sending out an identification detection failure signal when the infrared component of the pixel point of the segmented fault identification area is smaller than the preset threshold value.
And the signboard detection unit is also used for sending out a sign detection failure signal when the signboard is not divided into a fault sign area.
The electric automobile has the intelligent monitoring function of the front fault vehicle fault sign, and can effectively determine whether a fault vehicle exists in front of the automobile or not through the real-time identification result of the fault sign board in the image mode aiming at the technical problem that the front fault vehicle is easy to collide in the prior art; on the basis of carrying out frequency band analysis on the image content, carrying out corresponding edge enhancement processing on the detail component based on the signal-to-noise ratio of the whole image, thereby avoiding the waste of operation resources; on the basis of image fragment segmentation processing, the foreground of each image fragment is adjusted based on the integral segmentation threshold before the image is not segmented, so that the definition of the obtained foreground image is improved, and the technical problem is solved.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the technical principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (5)

1. An electric vehicle, comprising: the automobile roof comprises an automobile body (1), wherein luggage racks (2) are arranged on two sides of the roof of the automobile body (1), a solar panel (3) is arranged between the two luggage racks (2), and the solar panel (3) is connected with a storage battery in the automobile body (1).
2. The electric vehicle of claim 1, further comprising:
the roof camera is used for carrying out image acquisition facing the front of the electric automobile so as to obtain and output a corresponding automobile front image;
the data extraction unit is connected with the roof camera and used for receiving the image in front of the automobile, determining an integral segmentation threshold corresponding to the image in front of the automobile based on the distribution condition of pixel values of each pixel point in the image in front of the automobile, and performing contrast analysis on the image in front of the automobile to obtain and output corresponding contrast;
the fragment processing unit is connected with the data extraction unit and used for receiving the contrast, performing image segmentation processing on the image in front of the automobile on the basis of the contrast to obtain a plurality of fragments, determining a region segmentation threshold corresponding to each fragment on the basis of the distribution condition of pixel values of each pixel point in each fragment, obtaining each region segmentation threshold corresponding to each fragment, performing numerical adjustment on each region segmentation threshold on the basis of the whole segmentation threshold, obtaining each adjusted region segmentation threshold as each region adjustment threshold, and performing segmentation processing on each fragment by adopting the corresponding region adjustment threshold to obtain corresponding foreground fragments, and combining all foreground fragments to obtain and output a foreground image;
and the wavelet filtering unit is connected with the fragment processing unit and used for receiving the foreground image, identifying the signal-to-noise ratio in the foreground image, and selecting a wavelet basis with corresponding dimensionality to perform wavelet filtering processing on the foreground image based on the identified signal-to-noise ratio so as to obtain and output a corresponding image to be processed.
3. The electric vehicle of claim 2, further comprising:
the frequency band analysis unit is connected with the wavelet filtering unit and used for receiving the image to be processed, dividing a frequency domain into a plurality of uniform frequency bands, performing frequency domain analysis on the image to be processed to determine one or more frequency bands occupied by the image to be processed and located in a high-frequency range, and outputting the one or more frequency bands as one or more detected frequency bands;
the contour acquisition unit is connected with the frequency band analysis unit and is used for receiving the image to be processed and the one or more detected frequency bands, filtering corresponding signals of the one or more detected frequency bands from the image to be processed to obtain and output a residual contour image, and outputting an image obtained by stripping the residual contour image from the image to be processed as a detail detection image;
the edge enhancement unit is connected with the contour acquisition unit and used for receiving the image to be processed, the residual contour image and the detail detection image, measuring the signal-to-noise ratio of the image to be processed, executing edge enhancement processing with different intensities on the detail detection image based on the signal-to-noise ratio to obtain a corresponding edge processing image, and performing frequency domain combination processing on the edge processing image and the residual contour image to obtain a corresponding image to be processed and outputting the image to be detected; the performing different-intensity edge enhancement processing on the detail detection image based on the signal-to-noise ratio magnitude comprises: the greater the signal-to-noise ratio, the less the intensity of edge enhancement processing performed on the detail detection image;
the signboard detection unit is connected with the edge enhancement unit and used for receiving the image to be detected, extracting and segmenting the fault sign of the image to be detected based on a preset triangular symbol, and sending a sign detection success signal when the infrared component of the pixel point of the segmented fault sign region is greater than or equal to a preset threshold value;
wherein, in the fragment processing unit, performing numerical adjustment on each region segmentation threshold based on the whole segmentation threshold respectively includes: and for the region division threshold of each fragment, performing numerical adjustment on the region division threshold based on the difference value from the whole division threshold to the region division threshold, calculating one half of the difference value to obtain an adjustment factor, wherein the adjusted region division threshold is the result of adding the region division threshold and the adjustment factor.
4. The electric vehicle according to claim 3, characterized in that in the fragment processing unit, the higher the contrast, the greater the number of fragments obtained; and the signboard detection unit is also used for sending out an identification detection failure signal when the infrared component of the pixel point of the segmented fault identification area is smaller than the preset threshold value.
5. The electric vehicle according to claim 4, wherein the signboard detection unit is further configured to issue a sign detection failure signal when the faulty sign area is not divided.
CN201911079032.4A 2019-11-07 2019-11-07 Electric automobile Withdrawn CN110789358A (en)

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CN201911079032.4A CN110789358A (en) 2019-11-07 2019-11-07 Electric automobile

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CN201911079032.4A CN110789358A (en) 2019-11-07 2019-11-07 Electric automobile

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103204104A (en) * 2013-04-07 2013-07-17 布法罗机器人科技（苏州）有限公司 Vehicle full-view driving monitoring system and method
CN104044523A (en) * 2013-03-11 2014-09-17 上海市第一中学 Night driving safety auxiliary system
WO2015059687A1 (en) * 2013-10-23 2015-04-30 Perry Eran Dual purpose luggage rack
CN108437985A (en) * 2018-03-31 2018-08-24 成都云门金兰科技有限公司 A kind of automobile danger identification system based on image recognition
CN108985388A (en) * 2018-08-22 2018-12-11 浙江大丰实业股份有限公司 Buzzing alarm mechanism based on cutting load testing
CN109019465A (en) * 2018-08-20 2018-12-18 浙江大丰实业股份有限公司 Free movement ride physical protection system
CN109109673A (en) * 2018-09-09 2019-01-01 邓银发 A kind of electric car with DAS (Driver Assistant System)

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104044523A (en) * 2013-03-11 2014-09-17 上海市第一中学 Night driving safety auxiliary system
CN103204104A (en) * 2013-04-07 2013-07-17 布法罗机器人科技（苏州）有限公司 Vehicle full-view driving monitoring system and method
WO2015059687A1 (en) * 2013-10-23 2015-04-30 Perry Eran Dual purpose luggage rack
CN108437985A (en) * 2018-03-31 2018-08-24 成都云门金兰科技有限公司 A kind of automobile danger identification system based on image recognition
CN109019465A (en) * 2018-08-20 2018-12-18 浙江大丰实业股份有限公司 Free movement ride physical protection system
CN108985388A (en) * 2018-08-22 2018-12-11 浙江大丰实业股份有限公司 Buzzing alarm mechanism based on cutting load testing
CN109109673A (en) * 2018-09-09 2019-01-01 邓银发 A kind of electric car with DAS (Driver Assistant System)

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