In conventional autonomous vehicle designs, the mechanical system is first devised, and the
automated driving systems are subsequently added. The conventional method can be …

This article proposes a design of a tracking controller for autonomous articulated heavy
vehicles (AAHVs) using a nonlinear model predictive control (NLMPC) technique. Despite …

Orchard harvest-aid platforms are used in high-density orchards with SNAP (Simple,
Narrow, Accessible, and Productive) tree architectures. In these orchards, trees are planted …

Efficient speed planning is crucial for the safe and comfortable navigation of autonomous
vehicles in dynamic environments. This paper introduces a novel energy-efficient, jerk …

In this paper, a safety-guaranteed game-theoretical velocity planning framework in a
hierarchical manner is proposed to generate safe, ride comfort, and travel efficiency …

Left-turning at unsignalized intersections poses significant challenges for automated
vehicles. On this regard, Deep Reinforcement Learning (DRL) methods can achieve better …

In this paper, we develop a framework to enhance the control of autonomous vehicles within
signalized intersections by integrating system dynamics with imperfect sensor data …

Smooth and safe speed planning is imperative for the successful deployment of autonomous
vehicles. This paper presents a mathematical formulation for the optimal speed planning of …

高速公路无人驾驶轨迹规划面临着实时性强, 安全性高的挑战. 为此, 提出一种分层抽样多动态
窗口的轨迹规划算法(Stratied sampling based multi-dynamic window trajectory planner …

In recent years, the rapid development of autonomous system technology has increasingly
positioned it as a crucial player in modern transportation. Appropriate speed planning …