公开(公告)号：WO2021259344A1

公开(公告)日：2021-12-30

申请号：PCT/CN2021/101971

申请日：2021-06-24

Applicant: 中国第一汽车股份有限公司

Inventor： 韩贤贤 ,  蔡世民 ,  谭明伟 ,  徐刚 ,  冷长峰

IPC: G06K9/00 ,  G01S13/931 ,  G06K9/6257 ,  G06K9/6267 ,  G06K9/6288 ,  G06V20/56 ,  G06V2201/08

Abstract: 一种车辆检测方法、装置、车辆和存储介质，车辆检测方法包括：在本车车辆上通过毫米波雷达采集雷达数据和通过相机采集图像（S101）；建立本车车辆的危险区域（S102）；根据雷达数据确定位于危险区域内的目标车辆以及目标车辆的第一检测数据（S103）；将图像输入目标检测模型中得到目标车辆的第二检测数据（S104）；基于毫米波雷达的雷达坐标系到图像的像素坐标系的投影，融合第一检测数据和第二检测数据得到目标车辆的检测数据（S105）。

公开(公告)号：WO2021237212A1

公开(公告)日：2021-11-25

申请号：PCT/US2021/033894

申请日：2021-05-24

Applicant: OPTIMUS RIDE, INC.

Inventor： ALMEIDA, Ramiro ,  BEAUDREAU, Pierre

IPC: B60Q1/26 ,  B60Q1/28 ,  B60Q1/50 ,  B60Q1/54 ,  G08B5/00 ,  G08B5/36 ,  G08B5/38 ,  B60K2370/152 ,  B60K2370/167 ,  B60K2370/175 ,  B60K2370/77 ,  B60K35/00 ,  B60W30/00 ,  G06V20/58 ,  G06V2201/08 ,  G06V40/103 ,  G08G1/005 ,  G08G1/04 ,  G08G1/09 ,  G08G1/0962 ,  G09G2370/20 ,  G09G2380/06 ,  G09G2380/10 ,  G09G3/001 ,  G09G5/36

Abstract: A method, computer program product, and computing system for monitoring one or more machine vision sensors to obtain perception information concerning one or more third-party vehicles proximate an autonomous vehicle; identifying one or more vehicle shapes within the perception information, thus defining one or more detected vehicles shapes; generating proximate object display information that locates the one or more detected vehicles shapes with respect to the autonomous vehicle; and rendering the proximate object display information on a visual display system, thus confirming the perception of the one or more third-party vehicles by the autonomous vehicle.

公开(公告)号：WO2023279017A1

公开(公告)日：2023-01-05

申请号：PCT/US2022/073247

申请日：2022-06-29

Applicant: DEKA PRODUCTS LIMITED PARTNERSHIP

Inventor： BEAGLE, Karla ,  GUMMADI, Raajitha ,  BUITKUS, Gregory J.

IPC: G08G1/01 ,  G06V20/54 ,  G08G1/017 ,  G08G1/04 ,  G08G1/056 ,  G08G1/0967 ,  G06F21/602 ,  G06F21/6218 ,  G06V10/443 ,  G06V10/56 ,  G06V10/82 ,  G06V20/52 ,  G06V20/625 ,  G06V2201/08 ,  G06V40/10 ,  G08G1/0112 ,  G08G1/0116 ,  G08G1/0133 ,  G08G1/0175 ,  G08G1/096716 ,  G08G1/09675

Abstract: A system for identifying desired information from collected sensor data includes a collection device and a processing module. The collection device collects sensor data, coarsely filters the sensor data according to predefined rules to generate filter matched data, and securely transmits the filter matched data to the processing module. The processing module finely filters the filter matched data to generate desired information, provides the desired information to an authorized actor, and deletes the filter matched data.

公开(公告)号：WO2022140486A1

公开(公告)日：2022-06-30

申请号：PCT/US2021/064754

申请日：2021-12-21

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： HAN, Shaobo ,  CHEN, Yuheng ,  HUANG, Ming-Fang ,  LI, Tingfeng

IPC: G01H9/00 ,  G01D5/353 ,  G06N3/04 ,  G06N20/00 ,  G08G1/04 ,  B60W2420/406 ,  B60W30/18 ,  G01H9/004 ,  G06V10/14 ,  G06V10/764 ,  G06V10/82 ,  G06V20/44 ,  G06V20/52 ,  G06V2201/08 ,  H04B10/2537

Abstract: A fiber optic sensing technology for vehicle run-off-road incident automatic detection by an indicator of sonic alert pattern (SNAP) vibration patterns. A machine learning method is employed and trained and evaluated against a variety of heterogeneous factors using controlled experiments, demonstrating applicability for future field deployment. Extracted events resulting from operation of our system may be advantageously incorporated into existing management systems for intelligent transportation and smart city applications, facilitating real-time alleviation of traffic congestion and/or providing a quick response rescue and clearance operation

公开(公告)号：WO2021262465A1

公开(公告)日：2021-12-30

申请号：PCT/US2021/037171

申请日：2021-06-14

Applicant: VOLTA CHARGING, LLC

Inventor： MEYER, Ramsey, Rolland

IPC: G06K9/62 ,  B60L53/65 ,  B60L53/66 ,  G06K9/6256 ,  G06N3/08 ,  G06V20/10 ,  G06V2201/08 ,  G06V2201/10

Abstract: The disclosed embodiments provide a method performed at a computer system that is in communication with an electric vehicle charging station (EVCS). The EVCS includes a camera for obtaining images in a region proximal to the EVCS. The method includes capturing, using the camera, a plurality of images of electric vehicles, each image in the plurality of images being an image of a respective electric vehicle. The method further includes, for each respective image of the plurality of images of electric vehicles: determining, without user intervention, a characteristic of the respective electric vehicle; and tagging, without user intervention, the respective image with the characteristic of the respective electric vehicle. The method further includes training a first machine learning algorithm to identify the characteristic of other electric vehicles using the tagged plurality of images.

公开(公告)号：WO2023283511A2

公开(公告)日：2023-01-12

申请号：PCT/US2022/072808

申请日：2022-06-08

Applicant: ARGO AI, LLC

Inventor： PLAYER, Kevin

IPC: G01S17/931 ,  G01S7/487 ,  G01S17/58 ,  G06N20/00 ,  G05D1/02 ,  B60W2420/42 ,  B60W2420/52 ,  B60W30/18 ,  G01S13/00 ,  G06F18/214 ,  G06V20/56 ,  G06V20/58 ,  G06V2201/08

Abstract: Systems and methods for operating a mobile platform. The methods comprise, by a computing device: obtaining a LiDAR point cloud; using the LiDAR point cloud to generate a track for a given object in accordance with a particle filter algorithm by generating states of a given object over time (each state has a score indicating a likelihood that a cuboid would be created given an acceleration value and an angular velocity value); using the track to train a machine learning algorithm to detect and classify objects based on sensor data; and/or causing the machine learning algorithm to be used for controlling movement of the mobile platform.

公开(公告)号：WO2022004411A1

公开(公告)日：2022-01-06

申请号：PCT/JP2021/023051

申请日：2021-06-17

Applicant: SONY GROUP CORPORATION

Inventor： TAGUCHI Kazuaki ,  NISHIMURA Hiroaki

IPC: G07B15/02 ,  G07B15/04 ,  G06K9/62 ,  G06T7/73 ,  G06V20/52 ,  G06V20/54 ,  G06V20/588 ,  G06V20/625 ,  G06V2201/08 ,  G06V30/1444 ,  G07B15/063

Abstract: An information processing apparatus includes a specifying unit configured to specify, on the basis of a position of an object in a captured image, from a plurality of control targets, the control target to be controlled in accordance with the object.

公开(公告)号：WO2022003539A1

公开(公告)日：2022-01-06

申请号：PCT/IB2021/055770

申请日：2021-06-28

Applicant: ABB SCHWEIZ AG

Inventor： COLE, Gregory A. ,  EAKINS, William J. ,  RAAIJMAKERS, Stefan J.

IPC: B60L53/37 ,  G06K9/00 ,  G06K9/62 ,  G06T2207/20024 ,  G06T2207/30248 ,  G06T7/73 ,  G06T7/90 ,  G06V10/143 ,  G06V20/00 ,  G06V20/10 ,  G06V2201/08

Abstract: A plug connection system that autonomously charges an electric vehicle (EV) is provided. The method includes: adjusting configuration settings of an image capturing device; capturing an image using the image capturing device, wherein a portion of the image comprises an optically distinctive object associated with a charging portal of the EV, and wherein the image comprises a plurality of pixels; applying a pixel value threshold associated with a pixel metric to the image to filter the plurality of pixels of the image to a first subset of pixels; determining, based on filtering the plurality of pixels to the first subset of pixels, a location of the optically distinctive object associated with the charging portal of the EV within the image; and providing information to maneuver a robotic arm to a physical position associated with the location of the optically distinctive object within the image.

公开(公告)号：WO2021262976A1

公开(公告)日：2021-12-30

申请号：PCT/US2021/038891

申请日：2021-06-24

Applicant: MOBILEYE VISION TECHNOLOGIES LTD. ,  HAROUCHE, Shahar ,  GELLER, Idan ,  BENTOLILA, Jacob ,  SAAD, Amir

Inventor： HAROUCHE, Shahar ,  GELLER, Idan ,  BENTOLILA, Jacob ,  SAAD, Amir

IPC: G01C21/16 ,  G01C21/00 ,  G06K9/46 ,  G06N3/02 ,  G01C21/1656 ,  G01C21/3848 ,  G06N20/00 ,  G06V20/58 ,  G06V20/582 ,  G06V20/588 ,  G06V2201/08

Abstract: A computer-implemented method for navigating a host vehicle may include receiving an image frame acquired by an image capture device associated with the host vehicle; identifying in the image frame a representation of a target vehicle; determining an orientation indicator associated with the target vehicle; based on the determined orientation indicator, identifying a candidate region of the acquired image frame where a representation of a vehicle door of the target vehicle is expected in an open door condition; extracting the candidate region from the image frame; providing the candidate region to an open door detection network; determining a navigational action for the host vehicle in response to an indication from the open door detection network that the candidate region includes a representation of a door of the target vehicle in an open condition; and causing an actuator associated with the host vehicle to implement the navigational action.

公开(公告)号：WO2021260432A1

公开(公告)日：2021-12-30

申请号：PCT/IB2021/000433

申请日：2021-06-24

Applicant: HUMANISING AUTONOMY LIMITED

Inventor： BOSE, Raunaq ,  NOOTEBOOM, Leslie Cees ,  PINDEUS, Maya Audrey Lara

IPC: G06K9/00 ,  B60W30/095 ,  B60W60/00 ,  G08G1/16 ,  G06K9/62 ,  B60W2040/0863 ,  B60W2540/26 ,  B60W2540/30 ,  B60W40/09 ,  B60W50/14 ,  G06K9/6292 ,  G06N20/00 ,  G06V20/46 ,  G06V20/52 ,  G06V20/58 ,  G06V2201/07 ,  G06V2201/08 ,  G06V40/20 ,  G08G1/0175 ,  G08G1/166

Abstract: The systems and methods disclosed herein provide a risk prediction system that uses trained machine learning models to make predictions that a VRU will take a particular action. The system first receives, in a video stream, an image depicting a VRU operating a micro-mobility vehicle and extract the depictions from the image. The extraction process may be determined by bounding box classifiers trained to identify various VRUs and micro-mobility vehicles. The system feeds the extracted depictions to machine learning models and receives, as an output, risk profiles for the VRU and the micro-mobility vehicle. The risk profile may include data associated with the VRU/micro-mobility vehicle determined based on classifications of the VRU and the micro-mobility vehicles. The system may then generate a prediction that the VRU operating the micro-mobility vehicle will take a particular action based on the risk profile.