公开(公告)号：US20210365027A1

公开(公告)日：2021-11-25

申请号：US17281558

申请日：2019-09-27

Applicant: GREAT WALL MOTOR COMPANY LIMITED

Inventor： Lin HE ,  Longbao ZHEN ,  Kai ZHANG ,  Junpeng ZHAO ,  Wei LI ,  Tianpei WANG ,  Hongliang LIU ,  Ronglin ZENG ,  Weifeng DENG

IPC: G05D1/02 ,  G06K9/00 ,  G01C21/30

Abstract: Disclosed are a road feature point extraction method and system. The road feature point extraction method comprises: acquiring map information for the current position of a vehicle, wherein the map information comprises the attributes of the current road and the attributes of the next road section; comparing the attributes of the current road with the attributes of the next road section to determine the road type of the next road section; and extracting, in conjunction with the road type of the next road section and the map information corresponding to the next road section, a road feature point representing a road scene on the next road section, and outputting the name of the extracted road feature point and information of the relative distance between the road feature point and the vehicle.

公开(公告)号：US20210365039A1

公开(公告)日：2021-11-25

申请号：US17281562

申请日：2019-09-27

Applicant: GREAT WALL MOTOR COMPANY LIMITED

Inventor： Tianpei WANG ,  Longbao ZHEN ,  Jianyong GE ,  Yaxing REN ,  Kai ZHANG ,  Rutao HAN ,  Lin HE ,  Xiaochuan LI ,  Xiao YANG

IPC: G05D1/02 ,  G05D1/00 ,  B60W40/02

Abstract: A target tracking method and device, relating to the field of vehicles. The method comprises: reading a target fusion list at the current moment, wherein the target fusion list comprises a target attribute set corresponding to each environment target in one or more environment targets, and the target attribute set comprises parameter attribute sets, measured by one or more sensors, of the environment targets; determining whether the target fusion list at the current moment is an initial target fusion list or not; and if the target fusion list at the current moment is not the initial target fusion list, determining a target tracking list at the current moment according to the target fusion list at the current moment and a stored target tracking list at the previous moment, wherein the target tracking list comprises a parameter attribute set corresponding to each screened environment target and a fusion tracking ID.

公开(公告)号：US20210365695A1

公开(公告)日：2021-11-25

申请号：US17281560

申请日：2019-09-27

Applicant: GREAT WALL MOTOR COMPANY LIMITED

Inventor： Hongliang LIU ,  Jianyong GE ,  Longbao ZHEN ,  Rutao HAN ,  Wei LI ,  Junpeng ZHAO ,  Ronglin ZENG ,  Chaokai TIAN ,  Weifeng DENG

IPC: G06K9/00 ,  G08G1/16

Abstract: A method and apparatus used for extracting a feature point of an environmental target, which relate to the field of vehicles. The method comprises: acquiring the position of each corner point of an environmental target; and determining a feature point of the environmental target according to the position of each corner point of the environmental target. Thus, the problem wherein target identification is not precise may be solved, which is particularly suitable for the identification of a large target.

公开(公告)号：US20230028980A1

公开(公告)日：2023-01-26

申请号：US17758172

申请日：2021-04-19

Applicant: GREAT WALL MOTOR COMPANY LIMITED

Inventor： Jinchuan LI ,  Hejia WEI ,  Shuli LI ,  Longbao ZHEN ,  Pu LI ,  Shasha GAO ,  Fengyue ZHANG ,  Hongning ZHANG ,  Hong DONG

IPC: B60W30/095 ,  B60W30/16 ,  B60W50/14

Abstract: A cruise control method and system, and a vehicle, the method being applied to a first vehicle. When the first vehicle is driving in a first lane, before the first vehicle enters from the first lane into a preset recognition region to thereby complete vehicle identity recognition in the preset recognition region, the cut-in probability of a second vehicle cutting into the first lane can be predicted according to a movement parameter of the second vehicle that is in an adjacent second lane, and it is determined, according to the cut-in probability and the stopping time of the first vehicle, whether to brake to stop the first vehicle; therefore, during the process of controlling the first vehicle to pass through the preset recognition region, the driver is not required to temporarily take over control of the first vehicle.

公开(公告)号：US20220219689A1

公开(公告)日：2022-07-14

申请号：US17709816

申请日：2022-03-31

Applicant: GREAT WALL MOTOR COMPANY LIMITED

Inventor： Junjie CHANG ,  Yuanyuan ZHANG ,  Pu Li ,  Longbao ZHEN ,  Kai ZHANG

IPC: B60W30/14 ,  B60W30/08 ,  G06V20/58 ,  G08G1/095

Abstract: An adaptive cruise control system and an adaptive cruise control method supporting traffic light recognition are provided. The adaptive cruise control system in the present disclosure includes: a wireless receiver adaptive with a wireless transmitter of each traffic light on a current lane and configured to receive first traffic light state information about the traffic light on the current lane sent by the wireless transmitter; and a main controller being in communication with the wireless receiver and configured to obtain the first traffic light state information received from the wireless receiver, and perform a stop control or adaptive cruise control based on the first traffic light state information. By implementing the adaptive cruise control method, an adaptive cruise control for avoiding a driver from violation of traffic light is further realized based on the state information of the traffic lights, so that a safety of driving can be improved.

公开(公告)号：US20210389153A1

公开(公告)日：2021-12-16

申请号：US17281561

申请日：2019-09-27

Applicant: GREAT WALL MOTOR COMPANY LIMITED

Inventor： Longbao ZHEN ,  Jianyong GE ,  Rutao HAN ,  Long LI ,  Wei LI ,  Jian GAO ,  Kai ZHANG ,  Lin HE ,  Lu ZHANG

IPC: G01C21/36 ,  G01C21/00 ,  B60W30/12

Abstract: Disclosed are a road feature point extraction method and system. The road feature point extraction method comprises: acquiring map information for the current position of a vehicle, wherein the map information comprises the attributes of the current road and the attributes of the next road section; comparing the attributes of the current road with the attributes of the next road section to determine the road type of the next road section; and extracting, in conjunction with the road type of the next road section and the map information corresponding to the next road section, a road feature point representing a road scene on the next road section, and outputting the name of the extracted road feature point and information of the relative distance between the road feature point and the vehicle.