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公开(公告)号：US20210312653A1
公开(公告)日：2021-10-07
申请号：US17057915
申请日：2019-05-29
Applicant: SOUTHEAST UNIVERSITY
Inventor： Xu LI , Jiwen CAO , Peizhou NI , Kun WEI
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.
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2.发明申请公开(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
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.
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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
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.
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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.
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