Dynamic motion planning of autonomous vehicles

Dynamic Motion Planning of Autonomous Off-Road Vehicles

Dynamic Modeling and Power Modeling of Robotic Skid-Steered Wheeled Vehicles

Dynamic models and power models of autonomous ground vehicles are needed to enable realistic motion planning Howard & Kelly (2007); Yu et al. (2010) in unstructured, outdoor environments that have substantial changes in elevation, consist of a variety of terrain surfaces, and/or require frequent accelerations and decelerations. At least 4 different motion planning tasks can be accomplished usin...

Real-Time Motion Planning for Agile Autonomous Vehicles

Planning the path of an autonomous, agile vehicle ina dynamic environment is a very complex problem, especially when the vehicle is required to use its full maneuvering capabilities. Recent efforts aimed at using randomized algorithms for planning the path of kinematic and dynamic vehicles have demonstrated considerable potential for implementation on future autonomous platforms. This paper bui...

Cooperative Path-planning for Autonomous Vehicles Using Dynamic Programming

It is shown how to model a cooperative path planning system for multiple autonomous air vehicles within the framework of a stochastic (dynamic programming) decision process. The proposed approach allows the vehicles to cooperate and find near-optimal search paths over a given environment in the presence of uncertainty and constraints on movement and computational power.

Sampling-Based Real-Time Motion Planning under State Uncertainty for Autonomous Micro-Aerial Vehicles in GPS-Denied Environments

This paper presents a real-time motion planning approach for autonomous vehicles with complex dynamics and state uncertainty. The approach is motivated by the motion planning problem for autonomous vehicles navigating in GPS-denied dynamic environments, which involves non-linear and/or non-holonomic vehicle dynamics, incomplete state estimates, and constraints imposed by uncertain and cluttered...

Market-based Co-evolution Planning for Multiple Autonomous Vehicles

In a highly dynamic environment, an adaptive real-time mission planner is essential for controlling a team of autonomous vehicles to execute a set of assigned tasks. The optimal plan computed prior to the start of the operation might be no longer optimal when the vehicles execute the plan. This paper proposes a framework and algorithms for solving real-time task and path planning problems by co...