WO2022086739A3 - Systems and methods for camera-lidar fused object detection - Google Patents
Systems and methods for camera-lidar fused object detection Download PDFInfo
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- WO2022086739A3 WO2022086739A3 PCT/US2021/054333 US2021054333W WO2022086739A3 WO 2022086739 A3 WO2022086739 A3 WO 2022086739A3 US 2021054333 W US2021054333 W US 2021054333W WO 2022086739 A3 WO2022086739 A3 WO 2022086739A3
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- WIPO (PCT)
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- lidar
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- methods
- object detection
- segments
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- 238000001514 detection method Methods 0.000 title abstract 5
- 238000000034 method Methods 0.000 title abstract 3
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- 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
- B60W60/00—Drive control systems specially adapted for autonomous road vehicles
- B60W60/001—Planning or execution of driving tasks
- B60W60/0011—Planning or execution of driving tasks involving control alternatives for a single driving scenario, e.g. planning several paths to avoid obstacles
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- 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
- B60W10/00—Conjoint control of vehicle sub-units of different type or different function
- B60W10/04—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units
- B60W10/06—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units including control of combustion engines
-
- 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
- B60W10/00—Conjoint control of vehicle sub-units of different type or different function
- B60W10/18—Conjoint control of vehicle sub-units of different type or different function including control of braking systems
- B60W10/184—Conjoint control of vehicle sub-units of different type or different function including control of braking systems with wheel brakes
-
- 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
- B60W10/00—Conjoint control of vehicle sub-units of different type or different function
- B60W10/20—Conjoint control of vehicle sub-units of different type or different function including control of steering 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
- B60W60/00—Drive control systems specially adapted for autonomous road vehicles
- B60W60/001—Planning or execution of driving tasks
- B60W60/0015—Planning or execution of driving tasks specially adapted for safety
- B60W60/0017—Planning or execution of driving tasks specially adapted for safety of other traffic participants
-
- 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
- B60W60/00—Drive control systems specially adapted for autonomous road vehicles
- B60W60/001—Planning or execution of driving tasks
- B60W60/0027—Planning or execution of driving tasks using trajectory prediction for other traffic participants
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- 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
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/86—Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders
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- 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
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
- G01S17/89—Lidar systems specially adapted for specific applications for mapping or imaging
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- 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
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/48—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
- G01S7/4808—Evaluating distance, position or velocity data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
- G06V10/803—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of input or preprocessed data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
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- 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
- B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
- B60W2420/40—Photo, light or radio wave sensitive means, e.g. infrared sensors
- B60W2420/408—Radar; Laser, e.g. lidar
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- 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
- B60W2554/00—Input parameters relating to objects
- B60W2554/40—Dynamic objects, e.g. animals, windblown objects
- B60W2554/402—Type
- B60W2554/4026—Cycles
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Transportation (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Automation & Control Theory (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Computer Networks & Wireless Communication (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Electromagnetism (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Evolutionary Computation (AREA)
- Databases & Information Systems (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Traffic Control Systems (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Abstract
Systems and methods for object detection. The methods comprise: obtaining a LiDAR dataset and using the LiDAR dataset and image(s) to detect an object by: matching points of the LiDAR dataset to pixels in the image; generating a pruned LiDAR dataset by reducing a total number of points contained in the LiDAR dataset; computing a distribution of object detections that each point of the LiDAR dataset is likely to be in; creating a plurality of segments of LiDAR data points using the distribution of object detections; merging the plurality of segments of LiDAR data points to generate merged segments; and/or detecting the object in a point cloud defined by the LiDAR dataset based on the merged segments of LiDAR data points. The object detection may be used to facilitate at least one autonomous driving operation.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202180085904.7A CN116685874A (en) | 2020-10-23 | 2021-10-11 | Camera-laser radar fusion object detection system and method |
DE112021005607.7T DE112021005607T5 (en) | 2020-10-23 | 2021-10-11 | Systems and methods for camera-LiDAR-fused object detection |
Applications Claiming Priority (10)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US17/078,532 US12050273B2 (en) | 2020-10-23 | Systems and methods for camera-LiDAR fused object detection with point pruning | |
US17/078,543 | 2020-10-23 | ||
US17/078,561 | 2020-10-23 | ||
US17/078,532 | 2020-10-23 | ||
US17/078,575 US11430224B2 (en) | 2020-10-23 | 2020-10-23 | Systems and methods for camera-LiDAR fused object detection with segment filtering |
US17/078,561 US20220126873A1 (en) | 2020-10-23 | 2020-10-23 | Systems and methods for camera-lidar fused object detection with segment merging |
US17/078,548 US20220128702A1 (en) | 2020-10-23 | 2020-10-23 | Systems and methods for camera-lidar fused object detection with local variation segmentation |
US17/078,575 | 2020-10-23 | ||
US17/078,543 US11885886B2 (en) | 2020-10-23 | 2020-10-23 | Systems and methods for camera-LiDAR fused object detection with LiDAR-to-image detection matching |
US17/078,548 | 2020-10-23 |
Publications (2)
Publication Number | Publication Date |
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WO2022086739A2 WO2022086739A2 (en) | 2022-04-28 |
WO2022086739A3 true WO2022086739A3 (en) | 2022-06-23 |
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Application Number | Title | Priority Date | Filing Date |
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PCT/US2021/054333 WO2022086739A2 (en) | 2020-10-23 | 2021-10-11 | Systems and methods for camera-lidar fused object detection |
Country Status (2)
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DE (1) | DE112021005607T5 (en) |
WO (1) | WO2022086739A2 (en) |
Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020168313A1 (en) * | 2019-02-15 | 2020-08-20 | Arizona Board Of Regents On Behalf Of The University Of Arizona | Mobile 3d imaging system and method |
US20230303084A1 (en) * | 2022-03-23 | 2023-09-28 | Robert Bosch Gmbh | Systems and methods for multi-modal data augmentation for perception tasks in autonomous driving |
CN115035184B (en) * | 2022-06-13 | 2024-05-28 | 浙江大学 | Honey pomelo volume estimation method based on lateral multi-view reconstruction |
CN117706942B (en) * | 2024-02-05 | 2024-04-26 | 四川大学 | Environment sensing and self-adaptive driving auxiliary electronic control method and system |
CN117893412B (en) * | 2024-03-15 | 2024-06-11 | 北京理工大学 | Point cloud data filtering method, device, equipment and storage medium |
Citations (3)
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US20190236381A1 (en) * | 2018-01-30 | 2019-08-01 | Wipro Limited. | Method and system for detecting obstacles by autonomous vehicles in real-time |
US20190340775A1 (en) * | 2018-05-03 | 2019-11-07 | Zoox, Inc. | Associating lidar data and image data |
US20190387216A1 (en) * | 2018-06-13 | 2019-12-19 | Luminar Technologies, Inc. | Post-processing by lidar system guided by camera information |
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2021
- 2021-10-11 DE DE112021005607.7T patent/DE112021005607T5/en active Pending
- 2021-10-11 WO PCT/US2021/054333 patent/WO2022086739A2/en active Application Filing
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20190236381A1 (en) * | 2018-01-30 | 2019-08-01 | Wipro Limited. | Method and system for detecting obstacles by autonomous vehicles in real-time |
US20190340775A1 (en) * | 2018-05-03 | 2019-11-07 | Zoox, Inc. | Associating lidar data and image data |
US20190387216A1 (en) * | 2018-06-13 | 2019-12-19 | Luminar Technologies, Inc. | Post-processing by lidar system guided by camera information |
Non-Patent Citations (1)
Title |
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VARUNA DE SILVA; JAMIE ROCHE; AHMET KONDOZ: "Fusion of LiDAR and Camera Sensor Data for Environment Sensing in Driverless Vehicles", ARXIV.ORG, 17 October 2017 (2017-10-17), pages 1 - 21, XP081310344 * |
Also Published As
Publication number | Publication date |
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DE112021005607T5 (en) | 2023-08-24 |
WO2022086739A2 (en) | 2022-04-28 |
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