EP4034438A1 - Traitement de données de capteur adas compressées avec perte pour systèmes d'aide à la conduite - Google Patents
Traitement de données de capteur adas compressées avec perte pour systèmes d'aide à la conduiteInfo
- Publication number
- EP4034438A1 EP4034438A1 EP20751470.4A EP20751470A EP4034438A1 EP 4034438 A1 EP4034438 A1 EP 4034438A1 EP 20751470 A EP20751470 A EP 20751470A EP 4034438 A1 EP4034438 A1 EP 4034438A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- adas
- sensor
- data
- processing unit
- adas sensor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012545 processing Methods 0.000 title claims abstract description 113
- 238000007906 compression Methods 0.000 claims abstract description 41
- 230000006835 compression Effects 0.000 claims abstract description 41
- 230000006837 decompression Effects 0.000 claims abstract description 15
- 238000000034 method Methods 0.000 claims abstract description 13
- 238000011157 data evaluation Methods 0.000 claims abstract description 8
- 102100034112 Alkyldihydroxyacetonephosphate synthase, peroxisomal Human genes 0.000 claims abstract 49
- 101000799143 Homo sapiens Alkyldihydroxyacetonephosphate synthase, peroxisomal Proteins 0.000 claims abstract 49
- 238000000848 angular dependent Auger electron spectroscopy Methods 0.000 claims abstract 49
- 230000003287 optical effect Effects 0.000 claims description 32
- 238000004364 calculation method Methods 0.000 claims description 11
- 238000007781 pre-processing Methods 0.000 claims description 6
- 238000001514 detection method Methods 0.000 claims description 2
- 230000006870 function Effects 0.000 abstract description 11
- 238000011161 development Methods 0.000 abstract description 7
- 230000002085 persistent effect Effects 0.000 abstract description 2
- 230000005540 biological transmission Effects 0.000 description 5
- 238000012360 testing method Methods 0.000 description 4
- 238000010200 validation analysis Methods 0.000 description 2
- 239000013598 vector Substances 0.000 description 2
- 238000013144 data compression Methods 0.000 description 1
- 230000006735 deficit Effects 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000004148 unit process Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
- H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
- H03M7/3059—Digital compression and data reduction techniques where the original information is represented by a subset or similar information, e.g. lossy compression
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
- H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
- H03M7/60—General implementation details not specific to a particular type of compression
- H03M7/6005—Decoder aspects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
Definitions
- the invention relates to an ADAS sensor data processing unit, an ADAS sensor system and a method for ADAS sensor data evaluation for use in driver assistance systems or systems for automated driving of a vehicle.
- ADAS Advanced Driver Assistance Systems
- AD Automated Driving
- One goal is to reduce the amount of data of the ADAS sensor data to be transmitted on the vehicle bus.
- a first aspect of the invention relates to the use of lossy compression algorithms, with which significantly higher compression rates can be achieved, when transmitting ADAS sensor data.
- Another aspect relates to the architecture of ADAS sensor data processing units and sensor systems for evaluating lossy compressed ADAS sensor data.
- Another aspect concerns a reduction in the data to be saved for subsequent evaluation for the development, testing and possible validation of the algorithms.
- a basic consideration is the following:
- ADAS sensor e.g. a satellite camera
- computing unit or processing unit for processing the ADAS sensor data
- ADCU central Control unit for assisted or automated driving
- An ADAS sensor data processing unit comprises an input interface, a decompression module, a processing unit and an output unit.
- the input interface is set up to receive data from an ADAS sensor that has been lossy compressed by a compression module.
- the decompression module is set up to decompress the compressed data of the ADAS sensor.
- the processing unit is set up to process or evaluate the decompressed data from the ADAS sensor, information relevant to an ADAS / AD function being determined from the decompressed sensor data.
- the output unit is set up to output the information determined that is relevant for the ADAS / AD function.
- the ADAS sensor is set up to generate data relating to the detected surroundings of the vehicle and to transmit it to the compression module.
- the compression module is set up for lossy compression of the sensor-generated data.
- the data output interface is set up to output the compressed sensor data to the input interface of the ADAS sensor data processing unit. Advantages of using lossy compression are a lower amount of memory required during development for the persistent storage of recorded sensor data, a lower bandwidth required for transmitting the sensor data to the processing unit and a lower bandwidth for transmitting the data within the "intelligent" ADAS sensor.
- the ADAS sensor system comprises (only) one housing and the ADAS sensor data processing unit is integrated into the housing, e.g. as a SoC (System on Chip).
- This ADAS sensor system can also be referred to as an intelligent, smart or one-box sensor system.
- Such a smart sensor system provides in particular a “simultaneous” operation of a compression module and a decompression module “one behind the other”.
- the special feature here is that within the ADAS sensor system, the sensor-generated data is first compressed with loss by means of an integrated compression module, and then unpacked again by the integrated decompression module. From a conventional point of view, this appears cumbersome or even educa within a sensor, because it is accepted that the processing unit processes the lossy, decompressed ADAS sensor data and not the "complete" raw data that would be available elsewhere within the ADAS sensor system.
- ADAS sensor data processing unit is an external unit that can be wired or wirelessly connected to an ADAS sensor system arranged separately in the vehicle (usually without its own integrated data processing unit).
- an external ADAS sensor processing unit can in particular be a central control unit for ADAS / AD functions of the vehicle (ADCU).
- the invention relates to the arrangement of a data compression unit followed by a decompression unit within an ADAS sensor or an ADAS camera.
- this can be a one box smart sensor / camera or a two box sensor / camera with a separate sensor head and transmission path to a processing box.
- the algorithms for sensor data evaluation must be adapted or at least validated to this lossy data.
- the ADAS sensor of the ADAS sensor system or, for the ADAS sensor data processing unit can preferably be a camera sensor and the ADAS sensor data are accordingly image data.
- the ADAS camera sensor generates image data that are present in lossy compressed form at the input interface of the ADAS sensor data processing unit.
- the sensor data processing corresponds to image processing.
- the processing unit can preferably be an image processing unit or image processing algorithms can be implemented on the processing unit so that the processing unit is set up to detect objects, lane markings, traffic signs, traffic lights, light sources and / or spatial reconstruction of the vehicle environment.
- the ADAS sensor data processing unit for image data comprises a
- Optical flow calculation module that is set up to determine the optical flow between uncompressed image data of two individual images captured by the camera sensor at different times and to provide the determined optical flow to a processing unit.
- Another object of the invention relates to an image preprocessing module for an ADAS camera sensor system according to the invention, comprising an input unit, an optical flow calculation module, a compression module and an output unit.
- the input unit is set up to receive uncompressed image data from an ADAS camera sensor.
- the optical flow calculation module is set up to determine the optical flow between uncompressed image data of two individual images captured by the ADAS camera sensor at different times.
- the compression module is set up for lossy compression of the uncompressed image data received from the ADAS camera sensor.
- the output unit is set up to output the determined optical flow and the compressed one Image data to the input interface of an ADAS sensor data processing unit according to the invention for camera image data.
- a corresponding ADAS sensor data processing unit is preferably provided for camera image data, the processing unit of the ADAS sensor data processing unit being set up to take into account the provided optical flow when processing the (lossy) decompressed image data of the camera sensor.
- the invention further relates to a vehicle with an ADAS sensor data processing unit according to the invention or an ADAS sensor system according to the invention, optionally with an ADAS camera system and an image preprocessing module according to the invention.
- a (computer-implemented) method according to the invention for ADAS sensor data evaluation comprises the steps of a) receiving lossy compressed data from an ADAS sensor system of a vehicle, b) decompression of the lossy compressed data, c) processing of the decompressed data to determine information required for an ADAS Function are relevant, and d) output of the determined information that is relevant for the ADAS function.
- the invention also relates to a program element which, when a processing unit of an ADAS sensor data processing unit is programmed with it, instructs the processing unit to carry out a method according to the invention for ADAS sensor data evaluation, as well as a computer-readable medium on which such a program element is stored.
- the present invention can be implemented in digital electronic circuitry, computer hardware, firmware, or software.
- 1 shows a first possibility for storing sensor data of an ADAS sensor system
- 2 shows a second possibility for storing sensor data of an ADAS sensor system by compressing the sensor data without loss
- ADAS sensor data processing unit which enables the transmission and storage of lossy compressed sensor data
- FIG. 4 shows an intelligent ADAS sensor system with a processing unit integrated into the sensor module for processing lossy compressed sensor data
- FIG. 5 shows an intelligent ADAS camera sensor module with an optical flow calculation module based on the captured image data
- FIG. 6 shows an ADAS -Camera sensor system with an optical flow calculation module based on the captured image data and a separate image processing unit.
- the ADAS sensor system 100 comprises an ADAS sensor head 1, for example a camera, radar, lidar or laser scanner sensor.
- the ADAS sensor head 1 has a first data output interface 10, via which sensor data (SD) can be output uncompressed to a data input interface 21 of a processing unit 2 and to a memory unit 3 (outside the ADAS sensor system).
- the processing unit 2 processes the uncompressed ADAS sensor data (SD) in order to extract information (RI) relevant for ADAS or AD functions.
- the extracted relevant information (RI) is output to an ADAS or AD system via an information output interface 20 of the ADAS sensor system 100.
- ADAS sensor data (SD) are diverted and stored without additional compression.
- FIG. 2 shows how in an ADAS sensor system 100 (cf. FIG. 1) the sensor data (SD) can additionally be compressed without loss.
- an external compression unit 4 which receives the uncompressed ADAS sensor data (SD) from the first data output interface 10 of the ADAS sensor head 1, the sensor data is compressed without loss and the compressed data (cSD) is transmitted to a memory unit 5.
- the amount of data to be saved can be reduced by a factor of 2. Nevertheless, high costs are still incurred for the amounts of data to be stored, since the storage unit 5 must be dimensioned accordingly.
- One solution to the problem of the high costs of storing the sensor data is lossy compression, which enables significantly higher compression rates ( ⁇ > factor 10 less).
- an ADAS sensor system 30 with a separate ADAS sensor data processing unit 40 is shown schematically, which enables the transmission and storage of significantly more highly compressed sensor data.
- the ADAS sensor head 1 records data that are transmitted to an internal compression module 6.
- the internal compression module 6 is set up to compress the ADAS sensor data in a lossy manner and to transmit the lossy compressed ADAS sensor data (IcSD) to a data output interface 300.
- the (lossy) compressed ADAS sensor data (IcSD) are output from the data output interface 300 of the ADAS sensor system 30 to an input interface 401 of an external (e.g. central) ADAS sensor data processing unit 40.
- the input interface 401 transmits the compressed ADAS sensor data (IcSD) to a decompression module 7 of the ADAS sensor data processing unit 40.
- the decompression module 7 is set up to unpack the compressed ADAS sensor data (IcSD). Since these have been compressed with losses, the decompressed ADAS sensor data (IdSD) show differences compared to the originally recorded sensor data (SD), i.e. the raw data, and are subject to losses of detailed information.
- the decompressed ADAS sensor data (IdSD) are transmitted to a processing unit 44 of the ADAS sensor data processing unit 40.
- the processing unit 44 is configured to process the lossy decompressed ADAS sensor data (IdSD), i.e. to determine information relevant to an ADAS / AD function from the sensor data.
- the algorithms that are used on the processing unit 44 are either developed specifically for lossy data or the suitability of existing algorithms for lossless (raw) data must be demonstrated for the lossy data via an output interface 400 of the processing unit 44 or the external one ADAS sensor data processing unit 40, the relevant information (RI) determined are output to an ADAS or AD control system.
- the lossy compressed ADAS sensor data can be downloaded from the Data output interface 300 of the ADAS sensor system 30 can be output to an external storage unit 9, where they are stored for test or validation purposes.
- the external ADAS sensor data processing unit 40 can in particular be designed in the form of or as a component of a central control unit for assisted or automated driving (ADCU).
- the ADCU can receive lossy compressed sensor data (IcSD) from several ADAS sensors 30 of the same or different types (not shown in FIG. 3).
- IcSD lossy compressed sensor data
- camera, lidar, laser scanner, radar and / or ultrasonic sensors can serve as ADAS sensors 30.
- Not all ADAS sensors have to compress their data. With a low data rate (e.g. ultrasonic sensors), this data can also be transmitted uncompressed to the ADCU.
- high data rates e.g. from camera, high-resolution radar, lidar or laser scanner sensors
- high (and therefore lossy) compression on the sensor side is necessary or advantageous before transmission to the ADCU.
- FIG. 4 shows the schematic representation of an intelligent ADAS sensor system 200, that is to say an ADAS sensor with an integrated processing unit 22, which likewise enables the storage of sensor data that is significantly more highly compressed.
- the main difference to the overall system from FIG. 3 is that here the sensor head 1 and processing unit 22 are arranged in a common housing ("one-box solution").
- the ADAS sensor system 200 can be thought of as a combination of two subgroups 24, 28 ( Introduce dashed frame lines in FIG. 4), the first subgroup 24 corresponding to the ADAS sensor 30 from FIG. 3 and the second subgroup 28 corresponding to the sensor data processing unit 40 from FIG. 3.
- the ADAS sensor system 200 enables the lossy compressed sensor data (IcSD) to be exported to an external storage unit 9 via an output interface 240 of the sensor subgroup 24.
- the integrated processing unit 22 uses the same algorithms for determining the relevant information (RI) can be used, which are used in the processing unit 44 of an external ADAS sensor data processing unit 40 (cf. FIG. 3).
- the relevant information (RI) determined are output to an ADAS or AD control system via an output interface 280 of the processing unit 22 or of the intelligent ADAS sensor system 200.
- the ADAS sensor head 1 is an imaging sensor, that is to say a camera sensor 14.
- the camera sensor 14 can in particular be a monocular camera sensor.
- the ADAS sensor data (SD) are (two-dimensional) image data in this case.
- the camera sensor could deliver three-dimensional image data, e.g. as a stereo camera sensor.
- an at least partial 3D reconstruction of the surroundings of the vehicle is important for many ADAS / AD functions.
- the determination of the optical flow (OF) from at least two temporally offset (or successive) images of a camera sensor is of great importance.
- the optical flow (OF) indicates the displacement of a feature in a first image compared to the same feature in a later captured second image.
- the determination of the optical flow (OF) is an important algorithm for machine vision.
- a lossy compression of image data leads to an impairment of the flow vectors. It is therefore provided here to calculate the optical flow before the compression and, for example, after a preselection, to treat the flow vectors separately or to transmit them to a sensor data evaluation unit 70 or subgroup 58 without loss.
- FIG. 5 schematically shows an intelligent ADAS camera sensor system 500, the basic architecture of which is comparable to the ADAS sensor system 200 shown in FIG.
- “raw” image data (SD) are recorded by the camera sensor 14.
- the raw image data (SD) are also provided to an optical flow calculation module 16.
- the optical flow calculation module 16 is set up to determine the optical flow (OF) between uncompressed image data (SD) of two individual images captured by the camera sensor 14 at different times.
- the determined optical flow (OF) is transmitted to an output interface 540 of the camera sensor subgroup.
- the Lossy compressed image data (IcSD) are transmitted from the compression module 6 to the output interface 540 of the camera sensor subgroup 54.
- An input interface 581 of an image data processing subgroup 58 receives the determined optical flow (OF) and the lossy compressed image data (IcSD) from the output interface 540 of the camera sensor subgroup 54.
- the latter are unpacked by a decompression module 7 and transferred as (lossy) decompressed image data (IdSD) to an input point 53 of the processing unit 55.
- the processing unit 55 also has the determined optical flow (OF) on the input side. Taking into account the optical flow, the processing unit 55 processes the decompressed image data to determine the information (RI) that is relevant for the ADAS / AD function (s). The relevant information is output via the output 57 of the processing unit 55.
- the determined optical flow (OF) and the lossy compressed image data (IcSD) can be output from the output interface 540 of the camera sensor subgroup 54 for storage (cf. FIGS. 3 and 4); this is not shown in FIG. 5.
- FIG. 6 shows schematically an ADAS camera system 60 with an external image data processing unit 70.
- This system can be imagined similar to that shown in FIG Image preprocessing (OF calculation module 16) and an output interface 600 of the camera sensor module 60 corresponds.
- the output interface 600 of the camera sensor module 60 transmits the compressed image data (IcSD) and the calculated optical flow (OF) wirelessly or wired to an input interface 701 of an external (or central) image data processing unit 70 (or also to a storage unit, not shown).
- IcSD compressed image data
- OF optical flow
- sensor data from other ADAS sensors can also be processed - whether in the form of raw sensor data (SD) or in the form of lossy, decompressed sensor data (IdSD).
- SD raw sensor data
- IdSD lossy, decompressed sensor data
- the image processing unit 70 would be an element of an external ADAS sensor data processing unit 40 or the elements of the image processing unit 70 would be in an external one
- FIGS. 5 and 6 are primarily intended to illustrate, by way of example, the consideration of the optical flow (OF) calculated before compression.
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Abstract
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102019214587.6A DE102019214587A1 (de) | 2019-09-24 | 2019-09-24 | Verarbeitung verlustbehaftet komprimierten ADAS-Sensordaten für Fahrerassistenzsysteme |
PCT/DE2020/200059 WO2021058066A1 (fr) | 2019-09-24 | 2020-07-16 | Traitement de données de capteur adas compressées avec perte pour systèmes d'aide à la conduite |
Publications (1)
Publication Number | Publication Date |
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EP4034438A1 true EP4034438A1 (fr) | 2022-08-03 |
Family
ID=71950372
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP20751470.4A Pending EP4034438A1 (fr) | 2019-09-24 | 2020-07-16 | Traitement de données de capteur adas compressées avec perte pour systèmes d'aide à la conduite |
Country Status (5)
Country | Link |
---|---|
US (1) | US11876540B2 (fr) |
EP (1) | EP4034438A1 (fr) |
CN (1) | CN114467260A (fr) |
DE (2) | DE102019214587A1 (fr) |
WO (1) | WO2021058066A1 (fr) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20220116052A1 (en) * | 2020-10-12 | 2022-04-14 | Uatc, Llc | Systems and Methods for Compressing and Storing Sensor Data Collected by an Autonomous Vehicle |
DE102021210494A1 (de) * | 2021-09-21 | 2023-03-23 | Robert Bosch Gesellschaft mit beschränkter Haftung | Verarbeiten von Sensordaten in einem Steuergerät mittels verlustbehafteter Kompression |
CN115567121B (zh) * | 2022-10-18 | 2024-08-13 | 纵目科技(上海)股份有限公司 | 数据传输方法、系统、介质及超声波传感器 |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102011113265B3 (de) * | 2011-09-13 | 2012-11-08 | Audi Ag | Verfahren zur Bildverarbeitung von mit einem optischen Sensor in einem Kraftfahrzeug aufgenommenen Bilddaten und Kraftfahrzeug |
US9944307B2 (en) * | 2015-06-26 | 2018-04-17 | Steering Solutions Ip Holding Corporation | Steering assembly and method of monitoring a space within vehicle |
DE102015120130A1 (de) | 2015-11-20 | 2017-05-24 | Valeo Schalter Und Sensoren Gmbh | Verfahren zur Übertragung von Daten wenigstens eines Messgrößenaufnehmers eines Steuernetzwerks, Sender, Empfänger, Messgrößenaufnahmevorrichtung und Steuernetzwerk |
US20170232975A1 (en) * | 2016-02-11 | 2017-08-17 | Panasonic Automotive Systems Company Of America, Division Of Panasonic Corporation Of North America | Situation awareness in a vehicle |
US10069511B2 (en) * | 2016-12-12 | 2018-09-04 | Texas Instruments Incorporated | Lossless data compression |
US10708524B2 (en) * | 2017-09-01 | 2020-07-07 | Semiconductor Components Industries, Llc | Methods and apparatus for high dynamic range imaging |
US11025854B2 (en) * | 2017-11-07 | 2021-06-01 | Stmicroelectronics S.R.L. | Method of integrating driver assistance systems in vehicles, corresponding system, circuit, kit and vehicle |
US11099558B2 (en) * | 2018-03-27 | 2021-08-24 | Nvidia Corporation | Remote operation of vehicles using immersive virtual reality environments |
US11594036B2 (en) * | 2019-08-21 | 2023-02-28 | Micron Technology, Inc. | Advanced driver-assistance system (ADAS) operation utilizing algorithmic skyline detection |
US12020149B2 (en) * | 2019-10-28 | 2024-06-25 | Micron Technology, Inc. | Distributed neural network processing on an intelligent image sensor stack |
-
2019
- 2019-09-24 DE DE102019214587.6A patent/DE102019214587A1/de not_active Withdrawn
-
2020
- 2020-07-16 EP EP20751470.4A patent/EP4034438A1/fr active Pending
- 2020-07-16 CN CN202080066498.5A patent/CN114467260A/zh active Pending
- 2020-07-16 WO PCT/DE2020/200059 patent/WO2021058066A1/fr unknown
- 2020-07-16 DE DE112020004532.3T patent/DE112020004532A5/de active Pending
- 2020-07-16 US US17/754,129 patent/US11876540B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
DE112020004532A5 (de) | 2022-08-18 |
CN114467260A (zh) | 2022-05-10 |
US20220294467A1 (en) | 2022-09-15 |
US11876540B2 (en) | 2024-01-16 |
WO2021058066A1 (fr) | 2021-04-01 |
DE102019214587A1 (de) | 2021-03-25 |
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