As the main objective influencing factor on brake safety of autonomous vehicles, pavement texture information is directly related to road surface antiskid performance. However, in system influence adhesion characteristics braking stability seldomly considered. To study vehicles curved sections under different conditions, advanced close-range photogrammetry was utilized extract information. Ther...

In the process of trajectory tracking using linear quadratic regulator (LQR) for driverless wheeled tractors, a weighting matrix optimization method based on an improved quantum genetic algorithm (IQGA) is proposed to solve problem weight selection. Firstly, kinematic model tractor established according Ackermann steering model, and linearized discretized. Then, gate rotation angle adaptive str...

The combination of pavement rutting, poor road alignment, and extreme adverse weather will seriously threaten the driving safety vehicles, whereas only a few these factors are commonly concerned. This study aims to efficiently evaluate impacts various conditions on lateral stability vehicle produce practical recommendation for maintenance in what concerns rutting. A systematic framework was, th...

Abstract As the environment protection and energy shortage drawing more attention, development of new vehicle, especially electric vehicle has become an important tendency in industry. Affected by this trend, racing events been held Formula SAE (FSAE) China since 2013. To achieve testing control strategy before debugging, enhance develop-efficiency, reduce risk paper exploited a cost-effective,...

Many vehicle control systems were designed and implemented in the last years to enhance performances and stability acting on front and/or rear steering actuators [1,2,3] and/or individual wheel braking [8]; the development of electroactuated differentials allows to transfer torque between wheels from the faster to the slower one in semiactive differentials [11,12,13,14] and in both directions i...

Path planning and tracking control are essential parts of autonomous vehicle research. Regarding path planning, the Rapid Exploration Random Tree Star (RRT*) algorithm has attracted much attention due to its completeness. However, still suffers from slow convergence high randomness. tracking, Linear Quadratic Regulator (LQR) is widely used in various applications efficient stability ease implem...

The autonomous driving technology based on deep reinforcement learning (DRL) has been confirmed as one of the most cutting-edge research fields worldwide. agent is enabled to achieve goal making independent decisions by interacting with environment and strategies feedback from environment. This widely used in end-to-end tasks. However, this field faces several challenges. First, developing real...

This paper proposes a method for using previewed road geometry from a high-fidelity map to improve estimates of planar vehicle states in the presence of unmodeled sensor bias errors. Using well-established, linear models for representing human driver behavior and for planar vehicle states, a causal link between previewed road geometry and vehicle states can be derived. Cast as an augmented, clo...