A Review Paper on Contour Estimation Techniques in High-Resolution Automotive Radars

Abstract

By 2024, the market for automated driving systems is anticipated to reach $20 billion, growing at a 25.7 percent annual pace between 2016 and 2024. Contour estimation through High-Resolution radars is one of the key functionalities of these growing industries and many techniques have been used for it. KNN-DBSCAN, Generalized Hough Transform, and brute force approach are some of the techniques studied. Size of encountered Radar cross-section (RCS), dependency on heuristics, accuracy, and computational expensive are some of the parameters against which comparison of the various techniques is done. Although these parameters are studied in-depth, there are parameters like interference and contamination of RADAR that have not been studied extensively in the literature.