PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection

KC Huang, W Lyu, MH Yang… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Recent temporal LiDAR-based 3D object detectors achieve promising performance based
on the two-stage proposal-based approach. They generate 3D box candidates from the first …

T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory

D Park, J Jeong, SH Yoon, J Jeong… - Proceedings of the …, 2024 - openaccess.thecvf.com
Trajectory prediction is a challenging problem that requires considering interactions among
multiple actors and the surrounding environment. While data-driven approaches have been …

Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection

MQ Dao, JS Berrio, V Frémont, M Shan… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Occlusion is a major challenge for LiDAR-based object detection methods as it renders
regions of interest unobservable to the ego vehicle. A proposed solution to this problem …

Frame Fusion with Vehicle Motion Prediction for 3D Object Detection

X Li, F Wang, N Wang, C Ma - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
In LiDAR-based 3D detection, history point clouds contain rich temporal information helpful
for future prediction. In the same way, history detections should contribute to future …