EP2100162A1 - Method for operating a radar system with possible concealment of target objects and radar system for carrying out the method - Google Patents
Method for operating a radar system with possible concealment of target objects and radar system for carrying out the methodInfo
- Publication number
- EP2100162A1 EP2100162A1 EP07821207A EP07821207A EP2100162A1 EP 2100162 A1 EP2100162 A1 EP 2100162A1 EP 07821207 A EP07821207 A EP 07821207A EP 07821207 A EP07821207 A EP 07821207A EP 2100162 A1 EP2100162 A1 EP 2100162A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- target object
- radar system
- detected
- plausibility
- occlusion
- 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.)
- Ceased
Links
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000005259 measurement Methods 0.000 claims description 13
- 238000001514 detection method Methods 0.000 claims description 10
- 230000000873 masking effect Effects 0.000 claims description 6
- 230000001419 dependent effect Effects 0.000 claims description 2
- 230000035945 sensitivity Effects 0.000 claims description 2
- 238000004422 calculation algorithm Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 4
- 239000010261 arctane Substances 0.000 description 2
- 230000011514 reflex Effects 0.000 description 2
- 230000008094 contradictory effect Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/93—Radar or analogous systems specially adapted for specific applications for anti-collision purposes
- G01S13/931—Radar or analogous systems specially adapted for specific applications for anti-collision purposes of land vehicles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/66—Radar-tracking systems; Analogous systems
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/14—Adaptive cruise control
- B60W30/16—Control of distance between vehicles, e.g. keeping a distance to preceding vehicle
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/93—Radar or analogous systems specially adapted for specific applications for anti-collision purposes
- G01S13/931—Radar or analogous systems specially adapted for specific applications for anti-collision purposes of land vehicles
- G01S2013/9327—Sensor installation details
- G01S2013/93275—Sensor installation details in the bumper area
Definitions
- the present invention relates to a method for operating a radar system, in particular a microwave radar system for applications in or on motor vehicles, as well as a radar system for carrying out the method, according to the
- Radar systems using electromagnetic waves in particular using microwaves with frequencies above some 100 MHz, are widely known and used for the detection of objects and for the determination of
- a directional antenna provided with the respective radar system and having a radar sensor measures in a manner known per se reflexes of waves impinging on a (target) object to be sensed.
- the directional antenna can detect the object only if the direct path between the radar sensor and the target object is not obscured by one or more other objects.
- the radar sensor is now arranged approximately in the center of the vehicle, preferably in the middle of the bumper of the vehicle, and the driver therefore sits to the left of the sensor. As a result, it may happen that the driver can still see the target vehicle even though it is already covered by the other vehicle for the radar sensor. In such a scenario, therefore, it often comes to a Ziel Spur interfere, which is not understandable because of the still captured by the driver target vehicle for the driver.
- An occlusion situation just described also occurs, for example, in traffic jams, where many vehicles are involved and it often happens that potentially relevant target vehicles are briefly covered by other vehicles before they become relevant in the first place.
- the present invention is based on the idea of improving the tracking (so-called "tracking") of a target object by means of a radar system affected here, by detecting whether there is a concealment situation with respect to the target object and, in the case of a detected concealment situation, not automatically of a loss of the target object.
- such a concealment situation is handled by means of a plausibility check of the existence of such a concealing object, wherein a plausibility value (ie the "plausibility of the object") is then increased or incremented if the radar system preferably in a measuring cycle a respective tracked object, hereinafter referred to as "target object", detected or re-detected after an already occlusion and the plausibility value is then decreased or counted down when the radar system preferably detects no radar reflections of the object in a measurement cycle. If the current plausibility value falls below a lower empirically predeterminable
- Threshold it is assumed that the target object has completely disappeared because no reflexes have been detected at all for a longer period of time. Only in this case, the target object is deleted from the capture and thus not pursued. This procedure therefore does not automatically delete a target object if it has not been detected within a measurement cycle.
- a target object which is recognized as possibly hidden is made more slowly de-plausible, since in the case of a possible concealment situation the target object can not be detected, although it is actually still present.
- a target object is assumed to be longer than existent and in most cases be detected again by the radar sensor after a short time interval.
- the target object is communicated to the driver as still existing and thus does not lead to the above-described for the driver incomprehensible intermediate result.
- the unfounded target object losses described above are avoidable and results in a better understandable for the driver result.
- said detection of a concealment situation preferably takes place by evaluating the relative position of the detected objects relative to one another and by marking objects which are possibly concealed by other objects.
- the resulting information is preferably further processed in the mentioned or an alternative plausibility algorithm in order to slow down or even completely suppress the reduction of the plausibility value for the target object in the case of a detected masking of a target object.
- Fig. 1 shows schematically the geometric relationships in the calculation of a
- Fig. 2 shows a preferred embodiment of the method according to the invention with reference to a flow chart.
- FIG. 1 schematically shows the preferred procedure according to the invention in a purely geometrical calculation of a concealment situation of a target object 100.
- the assumed position of a radar sensor is referenced 105.
- an object 110 arranged in the measuring field of the radar sensor 105 is assumed, which obscures the target object 100.
- a rectangular object floor plan of width 2 * B and length L is assumed.
- the purpose of the occlusion recognition is to determine the angles ⁇ 1 to ⁇ 4 of all four corners of the object 110 and to determine therefrom the minimum and maximum of these four angles (for the sake of clarity, only the angle ⁇ 1 is shown in the figure). More distant objects, which lie between these two angles, in the present case the two angles ⁇ 1 and ⁇ 3, are affected by occlusion.
- the relative angle oc of the object 110 can be estimated by various methods, for example via the own radius R also shown in FIG.
- the quantities dxO and dyO are the coordinates of the obscuring object 110, as already provided by known algorithms for determining the position of objects (so-called "tracking algorithms").
- dxl dxO + cos (oc) * 0 - sin ( ⁇ ) * (- B)
- dyl dyO + sin ( ⁇ ) * 0 + cos ( ⁇ ) * (- B)
- ⁇ l arctane (dyl / dxl)
- dx2 dxO + cos (oc) * 0 - sin (oc) * (+ B)
- dx3 dxO + cos (oc) * L - sin (oc) * (+ B)
- dx4 dxO + cos (oc) * L - sin ( ⁇ ) * (- B)
- FIG. 2 describes a preferred procedure according to the invention in the operation of a radar system concerned in the case of an assumed concealment situation.
- the procedure shown there which can be implemented, for example, as a control code of a radar control unit or in the form of a special circuit, for example in a motor vehicle, consists of two subroutines 200 and 205, which run independently and / or in parallel in the present example. However, it is understood that the first subroutine 200 grds. also as part of the second subroutine
- the first subroutine 200 loops through a weighting 210 of the relative position of the objects (i, j, k,%) Currently present in the measuring field of the radar system, preferably as described in FIG. Based on the result of this evaluation 210, in the subsequent step 215, those objects j possibly concealed by other objects k are marked as "possibly concealed” and the objects k thus marked are cached 220. This cached concealment-relevant information is present at independent and / or concurrent subroutine 205, as described below.
- the second subroutine 205 preferably comprises executed process steps for carrying out the above-mentioned plausibility check method.
- the process steps 225-255 listed within the dashed line 205 represent the steps of an nth measurement cycle of the underlying radar system and are repeatedly executed by means of the loop shown until the step 260 is executed, which ends the entire subroutine 205.
- a specific target object is measured or tracked by means of a radar sensor having a directional antenna of the radar system. It will be understood that the measurement cycle shown may also be applied in parallel to multiple targets to thereby track multiple targets simultaneously.
- step 230 it is checked whether the target object has been detected. If this is the case, in step 235 the current plausibility value P for the target object is incremented by an empirically predeterminable value k and jumped back to the beginning 225 of the subroutine 205 to return the (n + 1) th measurement cycle to the present one
- step 240 first checks whether the target object is stored as "possibly hidden" 220. If this is the case, in step 245 the plausibility P is changed by a value k / m is counted down or reduced, wherein the value of m is empirically chosen so that this down counting of P is mitigated, ie it applies in any case the condition m> 1.
- step 240 the plausibility of the target object is reduced by the full value k in step 250, since the non-detection of the target object is most likely not caused by occlusion
- step 255 it is still checked whether the new value of P is smaller than an empirically predeterminable one
- Minimum value is P mm . If this condition is not met, the jump back to the beginning 225 of the subroutine 205 back. If the condition 255 is met, however, the target object is deleted 260, since it can now be assumed that the target object has left the measuring range of the radar system and therefore no longer has to be detected.
- step 245 a check may be made according to step 255; This depends in particular on the size of the value of m, since only at larger step sizes the reduction of the plausibility P, ie at relative small values of m, the relationship P ⁇ P mm can in principle also be fulfilled in the path 245.
- target object losses described in the introduction which occur especially in multi-lane cornering of at least three consecutive vehicles such as a preceding target vehicle, a subsequent foreign vehicle and an own vehicle following the two vehicles, are effectively prevented.
- the calculation of the value of the existence probability P exist is based on the following equations:
- LR k represents the likelihood ratio measured at a cycle number k.
- LRk min [P (D
- LR k min [(I-P (D
- the said deletion of target objects is preferably also handled via the existence probability P. In this case, however, no further algorithmic measures are required.
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Radar Systems Or Details Thereof (AREA)
- Traffic Control Systems (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102006057277A DE102006057277A1 (en) | 2006-12-05 | 2006-12-05 | Method for operating a radar system in case of possible target obscuration and radar system for carrying out the method |
PCT/EP2007/060840 WO2008068088A1 (en) | 2006-12-05 | 2007-10-11 | Method for operating a radar system with possible concealment of target objects and radar system for carrying out the method |
Publications (1)
Publication Number | Publication Date |
---|---|
EP2100162A1 true EP2100162A1 (en) | 2009-09-16 |
Family
ID=38846883
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP07821207A Ceased EP2100162A1 (en) | 2006-12-05 | 2007-10-11 | Method for operating a radar system with possible concealment of target objects and radar system for carrying out the method |
Country Status (4)
Country | Link |
---|---|
US (1) | US8514124B2 (en) |
EP (1) | EP2100162A1 (en) |
DE (1) | DE102006057277A1 (en) |
WO (1) | WO2008068088A1 (en) |
Families Citing this family (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
IL187708A (en) * | 2007-11-28 | 2013-04-30 | Camero Tech Ltd | Through-the-obstacle radar system and method of operation |
CN102472817B (en) | 2009-07-31 | 2014-02-26 | 本田技研工业株式会社 | Object detection device for vehicle and object detection method for vehicle |
US20110025548A1 (en) * | 2009-07-31 | 2011-02-03 | Gm Global Technology Operations, Inc. | System and method for vehicle sensor fusion |
US8793046B2 (en) * | 2012-06-01 | 2014-07-29 | Google Inc. | Inferring state of traffic signal and other aspects of a vehicle's environment based on surrogate data |
EP2865576B1 (en) * | 2013-10-22 | 2018-07-04 | Honda Research Institute Europe GmbH | Composite confidence estimation for predictive driver assistant systems |
EP2865575B1 (en) | 2013-10-22 | 2022-08-24 | Honda Research Institute Europe GmbH | Confidence estimation for predictive driver assistance systems based on plausibility rules |
DE102015207318B4 (en) | 2015-04-22 | 2021-07-22 | Robert Bosch Gmbh | Method and device for concealment detection for stationary radar systems |
DE102015118957A1 (en) | 2015-11-05 | 2017-05-11 | Valeo Schalter Und Sensoren Gmbh | Method for detecting a shading of a sensor device, computing device, driver assistance system and motor vehicle |
CN112184832B (en) * | 2020-09-24 | 2023-01-17 | 中国人民解放军军事科学院国防科技创新研究院 | Visible light camera and radar combined detection method based on augmented reality technology |
CN112356848A (en) * | 2020-11-06 | 2021-02-12 | 北京经纬恒润科技股份有限公司 | Target monitoring method and automatic driving system |
DE102021104015A1 (en) | 2021-02-19 | 2022-08-25 | Bayerische Motoren Werke Aktiengesellschaft | Method for detecting objects in the surroundings of a vehicle with determination of a covering of the objects, computing device and sensor system |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1298012A2 (en) * | 2001-09-28 | 2003-04-02 | IBEO Automobile Sensor GmbH | Method for recognizing and tracking objects |
DE10148068A1 (en) * | 2001-09-28 | 2003-04-10 | Ibeo Automobile Sensor Gmbh | Detecting and tracking objects involves associating at least one object with object box as static characteristic representing extent of object in image plane, using dynamic state variables |
WO2004029650A1 (en) * | 2002-09-20 | 2004-04-08 | Robert Bosch Gmbh | Method for measuring distances and speeds of several objects by means of an fmcw radar |
US20050128133A1 (en) * | 2002-11-29 | 2005-06-16 | Denso Corporation | Method for detecting an obstacle around a vehicle |
WO2006090736A1 (en) * | 2005-02-23 | 2006-08-31 | Aisin Seiki Kabushiki Kaisha | Object recognizing device |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH1194946A (en) | 1997-07-23 | 1999-04-09 | Denso Corp | Obstacle recognition device for vehicle |
US7570793B2 (en) | 2001-06-15 | 2009-08-04 | Ibeo Automobile Sensor Gmbh | Correction method for data of a plurality of optoelectronic sensors |
DE10141055B4 (en) | 2001-08-22 | 2013-09-05 | Ibeo Automobile Sensor Gmbh | Method for determining movement information |
DE10149146A1 (en) | 2001-10-05 | 2003-04-17 | Bosch Gmbh Robert | Speed regulator with distance regulating function for motor vehicle, has monitoring module for detecting situation with danger of objects not detected by location system being in immediate vicinity |
-
2006
- 2006-12-05 DE DE102006057277A patent/DE102006057277A1/en not_active Withdrawn
-
2007
- 2007-10-11 WO PCT/EP2007/060840 patent/WO2008068088A1/en active Application Filing
- 2007-10-11 EP EP07821207A patent/EP2100162A1/en not_active Ceased
- 2007-10-11 US US12/517,871 patent/US8514124B2/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1298012A2 (en) * | 2001-09-28 | 2003-04-02 | IBEO Automobile Sensor GmbH | Method for recognizing and tracking objects |
DE10148068A1 (en) * | 2001-09-28 | 2003-04-10 | Ibeo Automobile Sensor Gmbh | Detecting and tracking objects involves associating at least one object with object box as static characteristic representing extent of object in image plane, using dynamic state variables |
WO2004029650A1 (en) * | 2002-09-20 | 2004-04-08 | Robert Bosch Gmbh | Method for measuring distances and speeds of several objects by means of an fmcw radar |
US20050128133A1 (en) * | 2002-11-29 | 2005-06-16 | Denso Corporation | Method for detecting an obstacle around a vehicle |
WO2006090736A1 (en) * | 2005-02-23 | 2006-08-31 | Aisin Seiki Kabushiki Kaisha | Object recognizing device |
EP1852713A1 (en) * | 2005-02-23 | 2007-11-07 | Aisin Seiki Kabushiki Kaisha | Object recognizing device |
Non-Patent Citations (1)
Title |
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See also references of WO2008068088A1 * |
Also Published As
Publication number | Publication date |
---|---|
US20110063157A1 (en) | 2011-03-17 |
DE102006057277A1 (en) | 2008-06-12 |
WO2008068088A1 (en) | 2008-06-12 |
US8514124B2 (en) | 2013-08-20 |
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