Trajectory data is essential for various applications. However, publicly available trajectory
datasets remain limited in scale due to privacy concerns, which hinders the development of …

从单无人机机动飞行向多机协同扩展的通用规划框架出发, 介绍了其中各模块相关研究的基本
原理, 代表性方法和前沿研究, 主要包括用于环境障碍感知的实时导航地图构建 …

This paper presents a cooperative trajectory-generation framework to efficiently compute a
set of spatial trajectories for a team of cooperating vehicles: in particular, for unmanned …

Innovative applications in rapidly evolving domains such as robotic navigation and
autonomous (driverless) vehicles rely on motion planning systems that meet the shortest …

A growing number of research areas such as location-based social networks, intelligent
transportation systems, and urban computing utilize large amounts of trajectory data for …

Multirotor unmanned aerial vehicles (UAVs) have experienced a very fast-paced
technological development over the past years. Flight control systems have evolved from …

The past decade has witnessed sustained interest in elucidating the basic theory of
Pythagorean–hodograph (PH) curves, developing construction algorithms, formulating …

For a nonlinear stochastic path planning problem, sampling-based algorithms generate
thousands of random sample trajectories to find the optimal path while guaranteeing safety …

In the development of Level 4 automated driving functions, very specific, but diverse,
requirements with respect to the operational design domain have to be considered. In order …

Practical applications of drones are expanding into many new areas due to their fast-
evolving technology. Looking further into the future, it is very likely that applications will …