Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection

In recent years, driven by the need for safer and more autonomous transport systems, the automotive industry has shifted toward integrating a growing number of Advanced Driver Assistance Systems (ADAS). Among the array of sensors employed for object recognition tasks, radar sensors have emerged as a formidable contender due to their abilities in adverse weather conditions or low-light scenarios and their robustness in maintaining consistent performance across diverse environments. However, the small size of radar datasets and the complexity of …

adas advanced advanced driver assistance array automotive autonomous autonomous transport cs.cv detection driver industry instance radar recognition sensors systems tasks transport