In this paper, an urban-based path planning algorithm that considered multiple obstacles
and road constraints in a university campus environment with an autonomous micro electric …

Trajectory planning plays a crucial role in autonomous driving. It generates feasible
geometric paths within a certain time horizon to guide autonomous vehicles. However …

Autonomous vehicles have been at the forefront of academic and industrial research in
recent decades. This study's aim is to reduce traffic congestion, improve safety, and …

The autonomous vehicle is an automated system equipped with features like environment
perception, decision-making, motion planning, and control and execution technology …

In order to solve the problem of path planning and roadblock avoidance in the process of
smart car walking, this paper proposes a path planning algorithm based on neural network …

Tractor-trailer vehicles, which are composed of a car-like tractor towing a passive trailer,
have been widely deployed in the transportation industry, and trajectory planning is a critical …

Abstract Electric Vehicles (EVs) are regarded to be among the most environmentally and
economically efficient transportation solutions. However, barriers and range limitations …

In this paper, we focus on the need for autonomous vehicles' path planning and decision
making in the urban environment. In our modified method, traffic lanes, road edge and …

The existing intelligent vehicle trajectory-planning methods have limitations in terms of
efficiency and safety. To overcome these limitations, this paper proposes an automatic …

An adaptive potential field is designed to adapt the acceleration/deceleration and mass of
the obstacle. The potential fields are established in a transformed road coordinate system to …