SG11201810922VA - Methods and systems for detecting environmental information of a vehicle - Google Patents
Methods and systems for detecting environmental information of a vehicleInfo
- Publication number
- SG11201810922VA SG11201810922VA SG11201810922VA SG11201810922VA SG11201810922VA SG 11201810922V A SG11201810922V A SG 11201810922VA SG 11201810922V A SG11201810922V A SG 11201810922VA SG 11201810922V A SG11201810922V A SG 11201810922VA SG 11201810922V A SG11201810922V A SG 11201810922VA
- Authority
- SG
- Singapore
- Prior art keywords
- points
- coordinates
- beijing
- building
- international
- Prior art date
Links
Classifications
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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
- G01S7/4802—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
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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
- 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, or advanced driver assistance systems for ensuring comfort, stability and safety or drive control systems for propelling or retarding the vehicle
- B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
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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
- G01S17/02—Systems using the reflection of electromagnetic waves other than radio waves
- G01S17/06—Systems determining position data of a target
-
- 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
- G01S17/02—Systems using the reflection of electromagnetic waves other than radio waves
- G01S17/06—Systems determining position data of a target
- G01S17/42—Simultaneous measurement of distance and other co-ordinates
-
- 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
-
- 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
- G01S17/87—Combinations of systems using electromagnetic waves other than radio waves
-
- 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
- G01S17/93—Lidar systems specially adapted for specific applications for anti-collision purposes
- G01S17/931—Lidar systems specially adapted for specific applications for anti-collision purposes of land vehicles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/64—Three-dimensional objects
- G06V20/647—Three-dimensional objects by matching two-dimensional images to three-dimensional objects
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/64—Three-dimensional objects
Abstract
INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) --,, (19) World Intellectual Property MTh 0 111111 11 111 11111 0 11 110 1 0 111 11111 0111 11 111 0 11 11111 110 11110 1111 0 11 1111 Organization International Bureau (10) International Publication Number (43) International Publication Date .......•* WO 2019/037129 Al 28 February 2019 (28.02.2019) WIP0 I PCT (51) International Patent Classification: Building 34, No. 8 Dongbeiwang West Road, Haidian Dis- G01S 17/06 (2006.01) trict, Beijing 100193 (CN). (21) International Application Number: (74) Agent: METIS IP (CHENGDU) LLC; No. 846 South PCT/CN2017/099173 Tianfu Road, Tianfu Innovation Center, Chengdu, Sichuan 610213 (CN). (22) International Filing Date: 25 August 2017 (25.08.2017) (81) Designated States (unless otherwise indicated, for every (25) Filing Language: English kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, (26) Publication Language: English CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, (71) Applicant: BEIJING DIDI INFINITY TECHNOLOGY HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, AND DEVELOPMENT CO., LTD. [CN/CN]; Building KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, 34, No. 8 Dongbeiwang West Road, Haidian District, Bei- MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, jing 100193 (CN). OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (72) Inventors: YAO, Weilong; Building 34, No. 8 Dongbei- SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, wang West Road, Haidian District, Beijing 100193 (CN). TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. MENG, Zenan; Building 34, No. 8 Dongbeiwang West (84) Designated States (unless otherwise indicated, for every Road, Haidian District, Beijing 100193 (CN). LIU, Jian; kind of regional protection available): ARIPO (BW, GH, Building 34, No. 8 Dongbeiwang West Road, Haidian Dis- GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, trict, Beijing 100193 (CN) ZHANG, Hao; Building 34, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, No. 8 Dongbeiwang West Road, Haidian District, Beijing TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, 100193 (CN). TAN, Shen; Building 34, No. 8 Dongbei- EE, ES, FI, FR, GB, GR, HR, HU, 1E, IS, IT, LT, LU, LV, = — wang West Road, Haidian District, Beijing 100193 (CN). MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, = CAI, Yehe; Building 34, No. 8 Dongbeiwang West Road, = Haidian District, Beijing 100193 (CN). YANG, Zheng; Title: METHODS AND SYSTEMS FOR DETECTING ENVIRONMENTAL INFORMATION OF A VEHICLE (54) (57) : A system (100) for detecting a surrounding object may receive, from 400 a camera (120), a first image including a plurality of pixels relating to one or more = = Receiving, from a camera, a first image including a plurality iv 410 objects and receive, from one or more LiDARs (112, 114, 116), a first point set of pixels relating to one or more objects including a plurality of points corresponding to the plurality of pixels. The system = (100) may also, based on the first point set, determine 3D coordinates and reflection = 1 intensities of the plurality of points, based on which the system (100) may generate = Receiving, from one or more LiDARs, a first point set including a plurality of points corresponding to the plurality of pixels of the first image 6,/ 420 a segment result by classifying the plurality of points. The system (100) may further transform the 3D coordinates of the plurality of points into 2D coordinates and de- = _ 1 termine an object type of the one or more objects based on the 2D coordinates, the = Determining first 3D coordinates of the plurality of points and reflection intensity of the plurality of points based on the first point set t - Ay 430 3D coordinates, the segment result, and the first image. = = i = — Generating a segment result by classifying the plurality of points based on the first 3D coordinates of the plurality of 6,,, 440 = — points and the reflection intensities of the plurality of points 1 _ Transforming the first 3D coordinates of the plurality of points into first 2D coordinates of the plurality of points /1,, , 450 11 '1° 1 C.: N Determining an object type of the one or more objects based on the first 2D coordinates of the plurality of points, the first Ay 460 - 11 3D coordinates of the plurality of points, the segments result. and the first image 1 IN 1 M C::: ) ........ Determining environmental information relating to the one or 71 ./ 470 C.: in the first image based the type more objects on object 11 FIG. 4 O N O [Continued on next page] WO 2019/037129 Al HINIONOIMEIMEHEMINIMENHOUREMIEMIE TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG). Published: — with international search report (Art. 21(3))
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2017/099173 WO2019037129A1 (en) | 2017-08-25 | 2017-08-25 | Methods and systems for detecting environmental information of a vehicle |
Publications (1)
Publication Number | Publication Date |
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SG11201810922VA true SG11201810922VA (en) | 2019-03-28 |
Family
ID=65229096
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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SG11201810922VA SG11201810922VA (en) | 2017-08-25 | 2017-08-25 | Methods and systems for detecting environmental information of a vehicle |
Country Status (8)
Country | Link |
---|---|
US (1) | US10824880B2 (en) |
EP (1) | EP3465267A4 (en) |
JP (1) | JP6689006B2 (en) |
CN (1) | CN109716160B (en) |
CA (1) | CA3026667C (en) |
SG (1) | SG11201810922VA (en) |
TW (1) | TWI691730B (en) |
WO (1) | WO2019037129A1 (en) |
Families Citing this family (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10740627B2 (en) * | 2017-05-10 | 2020-08-11 | Fotonation Limited | Multi-camera vision system and method of monitoring |
CN111857111A (en) * | 2019-04-09 | 2020-10-30 | 商汤集团有限公司 | Object three-dimensional detection and intelligent driving control method, device, medium and equipment |
WO2021062587A1 (en) * | 2019-09-30 | 2021-04-08 | Beijing Voyager Technology Co., Ltd. | Systems and methods for automatic labeling of objects in 3d point clouds |
KR102324511B1 (en) * | 2019-11-20 | 2021-11-09 | 국민대학교산학협력단 | Method for detecting defects in the 3d lidar sensor using point cloud data |
US11614742B2 (en) | 2019-11-27 | 2023-03-28 | Zoox, Inc. | Height estimation using sensor data |
CN113066121A (en) * | 2019-12-31 | 2021-07-02 | 深圳迈瑞生物医疗电子股份有限公司 | Image analysis system and method for identifying repeat cells |
WO2021152053A1 (en) * | 2020-01-30 | 2021-08-05 | Outsight | A surveillance sensor system |
USD960727S1 (en) * | 2020-04-15 | 2022-08-16 | Beijing Voyager Technology Co., Ltd. | Lidar device |
CN111596090A (en) * | 2020-06-17 | 2020-08-28 | 中国第一汽车股份有限公司 | Method and device for measuring vehicle running speed, vehicle and medium |
US11715277B2 (en) | 2020-06-23 | 2023-08-01 | Tusimple, Inc. | Perception system for autonomous vehicles |
US11373389B2 (en) * | 2020-06-23 | 2022-06-28 | Tusimple, Inc. | Partitioning images obtained from an autonomous vehicle camera |
US11461922B2 (en) * | 2020-06-23 | 2022-10-04 | Tusimple, Inc. | Depth estimation in images obtained from an autonomous vehicle camera |
US11841439B2 (en) | 2020-11-02 | 2023-12-12 | Waymo Llc | Point cloud segmentation using a coherent lidar for autonomous vehicle applications |
US20220135074A1 (en) * | 2020-11-02 | 2022-05-05 | Waymo Llc | Classification of objects based on motion patterns for autonomous vehicle applications |
CN112528829B (en) * | 2020-12-07 | 2023-10-24 | 中国科学院深圳先进技术研究院 | Visual-based unstructured road centered driving method |
US11656629B1 (en) | 2020-12-08 | 2023-05-23 | Waymo Llc | Detection of particulate matter in autonomous vehicle applications |
US20220185324A1 (en) * | 2020-12-10 | 2022-06-16 | Motional Ad Llc | Merging LiDAR Information and Camera Information |
TWI745204B (en) * | 2020-12-28 | 2021-11-01 | 國家中山科學研究院 | High-efficiency LiDAR object detection method based on deep learning |
CN112977541A (en) * | 2021-03-17 | 2021-06-18 | 上海电气泰雷兹交通自动化系统有限公司 | Train protection early warning system based on multi-technology fusion |
TW202305740A (en) | 2021-06-17 | 2023-02-01 | 日商新唐科技日本股份有限公司 | Object detecting device, object detecting method, and program |
KR20230075882A (en) * | 2021-11-23 | 2023-05-31 | 주식회사 모라이 | Apparatus for generating real-time lidar data in a virtual environment and method for controlling the same |
CN113879338B (en) * | 2021-11-24 | 2023-02-17 | 广州文远知行科技有限公司 | Driving planning module optimization method, device, equipment and medium |
TWI816387B (en) * | 2022-05-05 | 2023-09-21 | 勝薪科技股份有限公司 | Method for establishing semantic distance map and related mobile device |
Family Cites Families (52)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2004069328A (en) * | 2002-08-01 | 2004-03-04 | Nissan Motor Co Ltd | Forward environment recognizing device and forward environment recognizing method |
JP2005025692A (en) * | 2003-07-04 | 2005-01-27 | Suzuki Motor Corp | Vehicle information provision apparatus |
ATE399359T1 (en) * | 2006-03-15 | 2008-07-15 | Delphi Tech Inc | OBSTACLE ASSESSMENT METHOD FOR A MOTOR VEHICLE |
US9041915B2 (en) * | 2008-05-09 | 2015-05-26 | Ball Aerospace & Technologies Corp. | Systems and methods of scene and action capture using imaging system incorporating 3D LIDAR |
JP5688876B2 (en) * | 2008-12-25 | 2015-03-25 | 株式会社トプコン | Calibration method for laser scanner measurement system |
US20100235129A1 (en) | 2009-03-10 | 2010-09-16 | Honeywell International Inc. | Calibration of multi-sensor system |
US8861842B2 (en) * | 2010-02-05 | 2014-10-14 | Sri International | Method and apparatus for real-time pedestrian detection for urban driving |
US8260539B2 (en) * | 2010-05-12 | 2012-09-04 | GM Global Technology Operations LLC | Object and vehicle detection and tracking using 3-D laser rangefinder |
US8509982B2 (en) * | 2010-10-05 | 2013-08-13 | Google Inc. | Zone driving |
US9482529B2 (en) * | 2011-04-15 | 2016-11-01 | Faro Technologies, Inc. | Three-dimensional coordinate scanner and method of operation |
US8565481B1 (en) * | 2011-05-26 | 2013-10-22 | Google Inc. | System and method for tracking objects |
WO2013081595A1 (en) * | 2011-11-30 | 2013-06-06 | Intel Corporation | Location detection system |
US8736463B1 (en) * | 2012-01-30 | 2014-05-27 | Google Inc. | Object bounding box estimation |
US9020189B2 (en) * | 2012-12-07 | 2015-04-28 | The Nielsen Company (Us), Llc | Methods and apparatus to monitor environments |
US9110169B2 (en) * | 2013-03-08 | 2015-08-18 | Advanced Scientific Concepts, Inc. | LADAR enabled impact mitigation system |
US9110163B2 (en) * | 2013-06-14 | 2015-08-18 | Microsoft Technology Licensing, Llc | Lidar-based classification of object movement |
US9523772B2 (en) * | 2013-06-14 | 2016-12-20 | Microsoft Technology Licensing, Llc | Object removal using lidar-based classification |
US9315192B1 (en) * | 2013-09-30 | 2016-04-19 | Google Inc. | Methods and systems for pedestrian avoidance using LIDAR |
CN103559791B (en) * | 2013-10-31 | 2015-11-18 | 北京联合大学 | A kind of vehicle checking method merging radar and ccd video camera signal |
US8989944B1 (en) * | 2013-11-26 | 2015-03-24 | Google Inc. | Methods and devices for determining movements of an object in an environment |
US9177481B2 (en) * | 2013-12-13 | 2015-11-03 | Sikorsky Aircraft Corporation | Semantics based safe landing area detection for an unmanned vehicle |
JP2015147256A (en) * | 2014-02-04 | 2015-08-20 | セイコーエプソン株式会社 | Robot, robot system, control device, and control method |
CN103837869B (en) * | 2014-02-26 | 2016-06-01 | 北京工业大学 | Based on single line laser radar and the CCD camera scaling method of vector relations |
US9098753B1 (en) | 2014-04-25 | 2015-08-04 | Google Inc. | Methods and systems for object detection using multiple sensors |
US9098754B1 (en) * | 2014-04-25 | 2015-08-04 | Google Inc. | Methods and systems for object detection using laser point clouds |
CN105302151B (en) * | 2014-08-01 | 2018-07-13 | 深圳中集天达空港设备有限公司 | A kind of system and method for aircraft docking guiding and plane type recognition |
CN104268935A (en) * | 2014-09-18 | 2015-01-07 | 华南理工大学 | Feature-based airborne laser point cloud and image data fusion system and method |
JP6426968B2 (en) * | 2014-10-08 | 2018-11-21 | キヤノン株式会社 | INFORMATION PROCESSING APPARATUS AND METHOD THEREOF |
CN104407351B (en) * | 2014-12-05 | 2017-05-17 | 北京公科飞达交通工程发展有限公司 | Vehicle window position identification method |
JP6410178B2 (en) * | 2015-01-08 | 2018-10-24 | パナソニックIpマネジメント株式会社 | Object detection apparatus and object detection method |
US9625582B2 (en) * | 2015-03-25 | 2017-04-18 | Google Inc. | Vehicle with multiple light detection and ranging devices (LIDARs) |
US10007849B2 (en) * | 2015-05-29 | 2018-06-26 | Accenture Global Solutions Limited | Predicting external events from digital video content |
CN107850902B (en) * | 2015-07-08 | 2022-04-08 | 深圳市大疆创新科技有限公司 | Camera configuration on a movable object |
CN105014678A (en) * | 2015-07-16 | 2015-11-04 | 深圳市得意自动化科技有限公司 | Robot hand-eye calibration method based on laser range finding |
US9710714B2 (en) | 2015-08-03 | 2017-07-18 | Nokia Technologies Oy | Fusion of RGB images and LiDAR data for lane classification |
US10282591B2 (en) * | 2015-08-24 | 2019-05-07 | Qualcomm Incorporated | Systems and methods for depth map sampling |
US10496766B2 (en) * | 2015-11-05 | 2019-12-03 | Zoox, Inc. | Simulation system and methods for autonomous vehicles |
US9916703B2 (en) * | 2015-11-04 | 2018-03-13 | Zoox, Inc. | Calibration for autonomous vehicle operation |
US9922553B2 (en) * | 2015-12-22 | 2018-03-20 | Intel Corporation | Vehicle assistance systems and methods utilizing vehicle to vehicle communications |
US10373380B2 (en) * | 2016-02-18 | 2019-08-06 | Intel Corporation | 3-dimensional scene analysis for augmented reality operations |
WO2017157967A1 (en) * | 2016-03-14 | 2017-09-21 | Imra Europe Sas | Processing method of a 3d point cloud |
WO2018039337A1 (en) * | 2016-08-23 | 2018-03-01 | Canvas Technology, Inc. | Autonomous cart for manufacturing and warehouse applications |
CN106570454B (en) * | 2016-10-10 | 2019-06-11 | 同济大学 | Pedestrian traffic parameter extracting method based on mobile laser scanning |
US20180136332A1 (en) * | 2016-11-15 | 2018-05-17 | Wheego Electric Cars, Inc. | Method and system to annotate objects and determine distances to objects in an image |
US10422639B2 (en) * | 2016-12-30 | 2019-09-24 | DeepMap Inc. | Enrichment of point cloud data for high-definition maps for autonomous vehicles |
US10116915B2 (en) * | 2017-01-17 | 2018-10-30 | Seiko Epson Corporation | Cleaning of depth data by elimination of artifacts caused by shadows and parallax |
JP6599031B2 (en) * | 2017-02-06 | 2019-10-30 | 三菱電機株式会社 | Monitoring device |
CN106908775B (en) * | 2017-03-08 | 2019-10-18 | 同济大学 | A kind of unmanned vehicle real-time location method based on laser reflection intensity |
CN106997466B (en) * | 2017-04-12 | 2021-05-04 | 百度在线网络技术(北京)有限公司 | Method and device for detecting road |
JP7016058B2 (en) * | 2017-04-28 | 2022-02-04 | パナソニックIpマネジメント株式会社 | Camera parameter set calculation method, camera parameter set calculation program and camera parameter set calculation device |
JP6861592B2 (en) * | 2017-07-14 | 2021-04-21 | 三菱電機株式会社 | Data thinning device, surveying device, surveying system and data thinning method |
US10509413B2 (en) * | 2017-09-07 | 2019-12-17 | GM Global Technology Operations LLC | Ground reference determination for autonomous vehicle operations |
-
2017
- 2017-08-25 CN CN201780033695.5A patent/CN109716160B/en active Active
- 2017-08-25 JP JP2018564348A patent/JP6689006B2/en active Active
- 2017-08-25 EP EP17911393.1A patent/EP3465267A4/en not_active Withdrawn
- 2017-08-25 SG SG11201810922VA patent/SG11201810922VA/en unknown
- 2017-08-25 WO PCT/CN2017/099173 patent/WO2019037129A1/en unknown
- 2017-08-25 CA CA3026667A patent/CA3026667C/en active Active
-
2018
- 2018-08-24 TW TW107129629A patent/TWI691730B/en active
- 2018-12-29 US US16/236,481 patent/US10824880B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
US10824880B2 (en) | 2020-11-03 |
CN109716160A (en) | 2019-05-03 |
CN109716160B (en) | 2022-12-02 |
CA3026667A1 (en) | 2019-01-31 |
AU2017417170A1 (en) | 2019-03-14 |
JP6689006B2 (en) | 2020-04-28 |
EP3465267A1 (en) | 2019-04-10 |
EP3465267A4 (en) | 2019-05-22 |
TWI691730B (en) | 2020-04-21 |
CA3026667C (en) | 2020-09-15 |
TW201920982A (en) | 2019-06-01 |
WO2019037129A1 (en) | 2019-02-28 |
JP2019533133A (en) | 2019-11-14 |
US20190138822A1 (en) | 2019-05-09 |
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