Zhongchang Liu

TL;DR: Experimental results show that the proposed computationally efficient visual tracking scenario can stably track a maneuvering target and is robust to target occlusions and loss.

TL;DR: This paper presents a decentralized strategy for collision-free navigation of multiple agents that combines the Optimal Reciprocal Collision Avoidance (ORCA) algorithm and Model Predictive Control (MPC) and shows that this new algorithm can reduce velocity vibrations in the traditional ORCA algorithm.

TL;DR: The limited sensing field of view and non-holonomic kinematic constraints of the mobile robot are incorporated into the proposed maximum-speed aware velocity obstacle (MVO) algorithm, for a mobile robot to avoid one or multiple high-speed obstacles.

TL;DR: In this article, the problem of cooperative searching for dynamical moving targets by multiple UAVs is studied, where the lost information is compensated by an improved Least Square Method (LSM) which incorporates the target location model into the fitting function to enhance data fitting precision and the Weighted Averaging Method (WAM) is used to merge multiple source information where the weight coefficients are set based on the uncertain values of environmental information.

TL;DR: To reduce the utilization of communication resources, a new event-triggered communication strategy (ETCS) is proposed, where the current data of the following vehicle is transmitted to its direct successor only when the difference between theCurrent data and the last transmitted data exceeds a state-dependent threshold.