Litcius/Paper detail

Real-Time Perception-Limited Motion Planning Using Sampling-Based MPC

Hanchen Lu, Qun Zong, Shupeng Lai, Bailing Tian, Lihua Xie

2022IEEE Transactions on Industrial Electronics30 citationsDOI

Abstract

Motion planning with visual perception is a hot topic for autonomous flight of micro aerial vehicles (MAVs). However, many existing works fail to be implemented in realistic scenarios in real time due to practical constraints, such as the limited field of view (FOV) of the onboard camera and the limited computational capability. Compared to the existing methods, the proposed approach solves the optimization of motion and perception at the same time. A sampling-based model-predictive control framework is explored as a local planner to generate trajectories, which are <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"/> <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">dynamically feasible</i> <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"/> and <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"/> <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">collision-free</i> <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"/> with <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"/> <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">limited perception</i> <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"/> . The sampling-based local planning framework is extended to two independent scenarios for MAVs: 1) planning safe trajectories with limited FOV constraint and 2) planning trajectories with effective perception of the point of interest. The effectiveness of the proposed method is demonstrated through both simulation and real-flight experiments.

Topics & Concepts

Computer scienceArtificial intelligencePerceptionPsychologyNeuroscienceRobotic Path Planning AlgorithmsDistributed Control Multi-Agent SystemsRobotics and Sensor-Based Localization
Real-Time Perception-Limited Motion Planning Using Sampling-Based MPC | Litcius