Evidential Mapping for Mobile Robots with Range Sensors

Abstract

Mapping for mobile robots integrates noisy, spurious sensor data into a single coherent map useful for navigational purposes. The Bayesian framework to mapping is contrasted to the evidential framework, and a sensor model is described for range sensors to work with evidential mapping. The model is simulated and evaluated under varying parameters and in different test environments.