Practical Study about Obstacle Detecting and Collision Avoidance Algorithm for Unmanned Vehicle

  • Park, Eun-Young (Graduate School of Automotive Engineering, Kookmin Univ.) ;
  • Lee, Woon-Sung (Graduate School of Automotive Engineering, Kookmin Univ.) ;
  • Kim, Jung-Ha (Graduate School of Automotive Engineering, Kookmin Univ.)
  • Published : 2003.10.22

Abstract

In this research, we will devise an obstacle avoidance algorithm for a previously unmanned vehicle. Whole systems consist mainly of the vehicle system and the control system. The two systems are separated; this system can communicate with the vehicle system and the control system through wireless RF (Radio Frequency) modules. These modules use wireless communication. And the vehicle system is operated on PIC Micro Controller. Obstacle avoidance method for unmanned vehicle is based on the Virtual Force Field (VFF) method. An obstacle exerts repulsive forces and the lane center point applies an attractive force to the unmanned vehicle. A resultant force vector, comprising of the sum of a target directed attractive force and repulsive forces from an obstacle, is calculated for a given unmanned vehicle position. With resultant force acting on the unmanned vehicle, the vehicle's new driving direction is calculated, the vehicle makes steering adjustments, and this algorithm is repeated.

Keywords