公开(公告)号：US20220379893A1

公开(公告)日：2022-12-01

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 ,  B60W40/114 ,  B60W40/13 ,  B60W40/072 ,  B60W50/00 ,  G08G1/00 ,  G05D1/02

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：US20240375682A1

公开(公告)日：2024-11-14

申请号：US18259378

申请日：2022-02-25

Applicant: Southeast University

Inventor： Xu LI ,  Weiming HU ,  Jinchao HU ,  Kun WEI ,  Qimin XU

IPC: B60W60/00 ,  B60W50/00

Abstract: A method of making a highly humanoid safe driving decision for an automated driving commercial vehicle, includes: collecting synchronously multi-source information on driving behaviors in typical traffic scenarios, constructing an expert trajectory data set representing driving behaviors of excellent drivers; simulating the driving behaviors of excellent drivers by utilizing a generative adversarial imitation learning (GAIL) algorithm, in a comprehensive consideration of influences of factors such as a forward collision, a backward collision, a transverse collision, a vehicle roll stability and a driving smoothness on a driving safety, constructing a generator and a discriminator by utilizing a proximal policy optimization algorithm and a deep neural network respectively, and establishing a safe driving decision-making model with highly humanoid level; and training the safe driving decision-making model to obtain safe driving policies under different driving conditions and to implement an output of an advanced decision-making for the automated driving commercial vehicle.

公开(公告)号：US20230013071A1

公开(公告)日：2023-01-19

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.

公开(公告)号：US20220348174A1

公开(公告)日：2022-11-03

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：US20220179061A1

公开(公告)日：2022-06-09

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

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.