Radar Localization

Radar localization focuses on accurately determining the position and orientation of objects or sensors using radar signals, addressing limitations of GPS, lidar, and vision-based systems, particularly in challenging weather conditions. Current research emphasizes improving accuracy through advanced signal processing techniques like Doppler compensation and incorporating deep learning models, such as convolutional neural networks, for feature extraction and localization in various map representations (e.g., LiDAR maps). These advancements are crucial for applications in autonomous vehicles, intelligent transportation systems, and other areas requiring robust and reliable localization in diverse and potentially harsh environments.