LiDAR Based Object

LiDAR-based object detection focuses on accurately identifying and locating objects in 3D space using LiDAR sensor data, a crucial task for autonomous driving and robotics. Current research emphasizes improving robustness in challenging conditions (e.g., adverse weather, class imbalance) and developing efficient, self-supervised training methods to reduce reliance on expensive manual annotation. Popular approaches utilize transformer networks and various convolutional architectures, often incorporating multimodal data fusion with cameras to enhance performance. These advancements are vital for improving the safety and reliability of autonomous systems and advancing the broader field of 3D computer vision.