I. Introduction
Autonomous driving being a very sophisticated problem statement, we need highly robust and reliable systems which can perform in all weather conditions round the clock. The sensor technologies available to us have their own pros and cons. Some work better than others in different weather and light conditions. One such example is the mmWave Radars which are becoming a vital part for the ADAS and autonomous driving applications [1]–[5]. The conventional approach to autonomous driving has changed significantly, instead of using only one type of sensors be it Vision, Radar or Lidar, now we are using a combination of two sensors or all of them together to make a more robust system. We can clearly see the effect on the performance of these sensors under different conditions as well as the feasibility in terms of cost in Fig. 1 below.
Comparison of camera, radar and lidar sensors