Collaborative 3D Object Detection

Collaborative 3D object detection aims to improve the accuracy and robustness of object detection in autonomous systems by fusing data from multiple sensors and agents. Current research focuses on efficient communication strategies, such as query-based methods and active selection of relevant information, to overcome bandwidth limitations and improve scalability, often employing transformer-based architectures or novel fusion techniques. These advancements are crucial for enhancing the safety and reliability of autonomous vehicles and other applications like multi-UAV surveillance, by mitigating issues like occlusion and sensor limitations through information sharing and improved spatial awareness.