Radar Sensor

Radar sensors are crucial for various applications, from autonomous driving to gesture recognition, primarily due to their robustness and ability to operate in challenging conditions. Current research focuses on improving radar data processing through advanced algorithms like Iterative Closest Point (ICP) for localization and various neural network architectures (including CNNs and Transformers) for object detection, clutter mitigation, and semantic segmentation. These advancements aim to enhance the accuracy and reliability of radar-based systems, impacting fields like autonomous vehicles, robotics, and human-computer interaction by providing more robust and informative environmental perception.