Towards mapping of dynamic environments with FMCW radar

Abstract

Frequency-modulated continuous waveform (FMCW) microwave and millimetre-wave radar is an attractive sensor for intelligent transport systems due to its reliable all-weather performance. This paper discusses issues involved in the design of FMCW radar mapping systems for use in collision avoidance in large vehicles operating in dynamic environments. The performance characteristics of radar are examined before an analysis is made of traditional grid-based and feature-based mapping approaches, both conceptually and in terms of implementation. The probability hypothesis density (PHD) filter is discussed as a potentially superior approach for radar mapping in dynamic environments.