公开(公告)号：US11964655B2

公开(公告)日：2024-04-23

申请号：US17766870

申请日：2021-04-12

Applicant: SOUTHEAST UNIVERSITY

Inventor： Xu Li ,  Weiming Hu ,  Jinchao Hu ,  Xuefen Zhu

IPC: B60W30/095 ,  G06N3/045 ,  G06N3/0464

CPC classification number: B60W30/0956 ,  G06N3/045 ,  G06N3/0464 ,  B60W2300/125 ,  B60W2420/408 ,  B60W2554/4041 ,  B60W2554/80

Abstract: The present invention discloses a backward anti-collision driving decision-making method for a heavy commercial vehicle. Firstly, a traffic environment model is established, and movement state information of a heavy commercial vehicle and a vehicle behind the heavy commercial vehicle is collected. Secondly, a backward collision risk assessment model based on backward distance collision time is established, and a backward collision risk is accurately quantified. Finally, a backward anti-collision driving decision-making problem is described as a Markov decision-making process under a certain reward function, a backward anti-collision driving decision-making model based on deep reinforcement learning is established, and an effective, reliable and adaptive backward anti-collision driving decision-making policy is obtained. The method provided by the present invention can overcome the defect of lack for research on the backward anti-collision driving decision-making policy for the heavy commercial vehicle in the existing method, can quantitatively output proper steering wheel angle and throttle opening control quantities, can provide effective and reliable backward anti-collision driving suggestions for a driver, and can reduce backward collision accidents.

公开(公告)号：US11783594B2

公开(公告)日：2023-10-10

申请号：US17267493

申请日：2019-05-16

Applicant: SOUTHEAST UNIVERSITY

Inventor： Xu Li ,  Zhiyong Zheng ,  Kun Wei

IPC: G06V20/58 ,  G06T7/11 ,  G06V20/56 ,  G06V40/10 ,  G06F18/25 ,  G06N3/045 ,  G06V10/764 ,  G06V10/80 ,  G06V10/82 ,  G06V10/44

CPC classification number: G06V20/58 ,  G06F18/253 ,  G06N3/045 ,  G06T7/11 ,  G06V10/454 ,  G06V10/764 ,  G06V10/806 ,  G06V10/82 ,  G06V20/56 ,  G06V40/10

Abstract: The present invention discloses a method for segmenting pedestrians in roadside images using a variable-scale multi-feature fusion convolutional network. It addresses the challenge of significant changes in pedestrian scale by using two parallel convolutional neural networks to extract the local and global features at different scales, and then fusing them to obtain a variable-scale multi-feature fusion convolutional neural network, and this network is trained using roadside pedestrian images to realize accurate pedestrian segmentation, avoiding issues with boundary fuzziness and missing segments commonly found in single-network methods.

公开(公告)号：US11874366B2

公开(公告)日：2024-01-16

申请号：US17436614

申请日：2019-05-29

Applicant: Southeast University

Inventor： Xu Li ,  Huaikun Gao ,  Qimin Xu

IPC: G01S13/87 ,  G01S13/91

CPC classification number: G01S13/878 ,  G01S13/91

Abstract: In Intelligent Vehicle Infrastructure Cooperative Systems (IVICS), a high-precision vehicle positioning method utilizing Ultra-Wide Band (UWB) is proposed. Owing to remarkable wide band of radio signal, this UWB-based positioning method shows excellent anti-interference capability and multi-path immunity, which are essential for achieving high precision in practical traffic scenario. In this approach, several UWB nodes are deliberately deployed at the crossing with the help of roadside infrastructure in IVICS. Meanwhile, an algorithm aiming at Non Line of Sight (NLOS) error compensation is developed to improve the positioning performance. In a word, this method has been demonstrated the potential to achieve accurate, reliable, continuous and integrated localization.

公开(公告)号：US11367215B2

公开(公告)日：2022-06-21

申请号：US17057915

申请日：2019-05-29

Applicant: SOUTHEAST UNIVERSITY

Inventor： Xu Li ,  Jiwen Cao ,  Peizhou Ni ,  Kun Wei

IPC: G06T7/70 ,  G06T7/73 ,  B60R11/04 ,  B62D15/02 ,  G06K9/62 ,  G06T5/00 ,  G06V10/25 ,  B60R11/00 ,  G06V20/62 ,  G06V30/10

Abstract: The present invention discloses a positive azimuth towing guidance method for road rescue equipment based on license plate corner features. The method combines a structure of the road rescue equipment and characteristics of a positive azimuth towing operation. First, an image of an operation area is collected by installing a camera, and grayscale processing and Gaussian smooth filtering are performed on the image; corner detection is performed on the smoothed grayscale image, and preference is implemented according to corner strengths; hierarchical clustering is performed on the preferred corners; an effective corner set of license plate characters is sorted out to implement license plate locating; and then towing guidance is implemented according to a license plate locating result, to improve the rescue efficiency of the road rescue equipment. The guidance method provided in the present invention has good real-time performance, environmental adaptability and anti-interference ability, thereby effectively improving the rescue efficiency of the road rescue equipment.

公开(公告)号：US11648946B2

公开(公告)日：2023-05-16

申请号：US17768765

申请日：2021-04-12

Applicant: SOUTHEAST UNIVERSITY

Inventor： Xu Li ,  Weiming Hu ,  Qimin Xu ,  Kun Wei

IPC: B60W30/18 ,  B60W30/165 ,  B60W40/072 ,  B60W40/114 ,  B60W40/13 ,  B60W50/00 ,  G05D1/02 ,  G08G1/00

CPC classification number: B60W30/18163 ,  B60W30/165 ,  B60W30/18145 ,  B60W40/072 ,  B60W40/114 ,  B60W40/13 ,  B60W50/0098 ,  G05D1/0293 ,  G05D1/0295 ,  G08G1/22 ,  B60W2040/1323 ,  B60W2050/0028 ,  B60W2050/0052 ,  B60W2552/30 ,  B60W2556/60 ,  B60W2710/207 ,  G05D2201/0213

Abstract: The present invention discloses an intelligent vehicle platoon lane change performance evaluation method. First, an intelligent vehicle platoon lane change performance test scenario is established; secondly, a three-degree of freedom nonlinear dynamics model is established according to motion characteristics of intelligent vehicles in a platoon lane change process; further, an improved adaptive unscented Kalman filter algorithm is utilized to perform filter estimation on state variables of positions and velocities of platoon vehicles; and finally, based on accurately recursive vehicle motion state parameters, evaluation indexes for platoon lane change performance are proposed and quantified, and an evaluation system for platoon lane change performance is constructed. According to the method proposed in the present invention, the problem of lacking platoon lane change performance quantitative evaluation at present is solved, vehicle motion state parameters can be measured in a high-precision and comprehensive manner, multi-dimensional platoon lane change performance evaluation indexes are quantified and output, and comprehensive, accurate, and reliable scientific quantitative evaluation for platoon lane change performance is achieved.

公开(公告)号：US11603081B2

公开(公告)日：2023-03-14

申请号：US17764871

申请日：2021-04-12

Applicant: SOUTHEAST UNIVERSITY

Inventor： Xu Li ,  Kun Wei ,  Qimin Xu

IPC: B60T8/1755

Abstract: For a tank truck using an EBS, the present invention provides a tank truck rollover relieved control method based on electronic braking deceleration. Firstly, a tank truck rollover scene applicable to the relieved control method is defined; then, a least square method is adopted to establish a characterization function of tank truck braking deceleration; and finally, tank truck rollover relieved control is achieved on the basis of the characterization function of the braking deceleration and the EBS. The method fits out a function expression of the tank truck braking deceleration and can automatically select a proper braking deceleration under different rollover scenes according to kinematics information of the tank truck and vehicle body information; during tank truck braking deceleration, an operation of a driver is considered, so that man-machine effective combination is achieved; and relieved braking deceleration is conducted when the tank truck is in a potential rollover risk state, a situation that emergency braking is conducted when the tank truck has high rollover risk is avoided, and tank truck rollover control stability and effectiveness are improved.

公开(公告)号：US12174086B2

公开(公告)日：2024-12-24

申请号：US17784806

申请日：2021-09-23

Applicant: Southeast University

Inventor： Qimin Xu ,  Xu Li

IPC: G01M17/007 ,  G07C5/00 ,  G08G1/01

Abstract: Disclosed are a Type-II Autonomous Emergency Braking System (AEBS) test and evaluation device and method based on a BeiDou space-time reference, where the device includes three parts: a roadside-end information acquisition module, a vehicle-end information acquisition module, and an integrated information processing module. The roadside-end information acquisition module can acquire accurate message sending time by means of a BeiDou time service unit: the vehicle-end information acquisition module can acquire accurate time of receiving a roadside-end message, information acquired by a combined inertial navigation unit, and audio/vibration information acquired by a Single Chip Microcomputer (SCM) embedded unit; and the integrated information processing module can implement accurate, quantitative test and evaluation of indexes such as a vehicle-road communication delay and warning signal sending time. The method of the present disclosure performs data analysis and processing based on a globally unified BeiDou space-time reference and by means of a Support Vector Machine (SVM)-based dynamic Hermite interpolation method, which has an accurate test and evaluation result. Further, the method does not have any requirements for a communication system of the type-II AEBS, thus achieving convenient testing and a wide range of application.