Obstacle avoidance with sensor uncertainty for small unmanned aircraft
- 1 January 2004
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1 (01912216) , 614-619 Vol.1
- https://doi.org/10.1109/cdc.2004.1428712
Abstract
The ability to detect, sense, and avoid obstacles in the environment is a critical capability for autonomous groups of unmanned aircraft. The overall obstacle avoidance problem is typically studied as two or three separate subproblems. Unfortunately, such an approach can lead to unrealistic assumptions being made about the other subsystems or specification of unnecessarily high levels of subsystem performance. In this paper, we present an approach to obstacle avoidance in the context of a multilayered, multi-objective control architecture that considers both the aircraft dynamics and sensor limitations in an integrated framework. Specifically, the concept of reachable sets is extended to include the error model of parallel-baseline, stereovision. An analytical solution is presented for the planar motion of a single unmanned aircraft. In addition, the extension to groups of UAV is introduced.Keywords
This publication has 8 references indexed in Scilit:
- Vision-based road-following using a small autonomous aircraftPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Flocking with obstacle avoidance: cooperation with limited communication in mobile networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Visual sonar: fast obstacle avoidance using monocular visionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Computational techniques for the verification of hybrid systemsProceedings of the IEEE, 2003
- Future visual microsensors for mini/micro-UAV applicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Vision-guided flight stability and control for micro air vehiclesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Reactive Visual Navigation Based on Omnidirectional Sensing-Path Following and Collision AvoidanceTransactions of the Institute of Systems, Control and Information Engineers, 2001
- Exact robot navigation using artificial potential functionsIEEE Transactions on Robotics and Automation, 1992