Search Results for author:
Found 4 papers, 1 papers with code
Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction
Motion prediction plays an essential role in autonomous driving systems, enabling autonomous vehicles to achieve more accurate local-path planning and driving decisions based on predictions of the surrounding vehicles.
MSTF: Multiscale Transformer for Incomplete Trajectory Prediction
MSTF integrates a Multiscale Attention Head (MAH) and an Information Increment-based Pattern Adaptive (IIPA) module.
Boosting Visual Recognition in Real-world Degradations via Unsupervised Feature Enhancement Module with Deep Channel Prior
The environmental perception of autonomous vehicles in normal conditions have achieved considerable success in the past decade.
Enhancing Traffic Object Detection in Variable Illumination with RGB-Event Fusion
To address this issue, we introduce bio-inspired event cameras and propose a novel Structure-aware Fusion Network (SFNet) that extracts sharp and complete object structures from the event stream to compensate for the lost information in images through cross-modality fusion, enabling the network to obtain illumination-robust representations for traffic object detection.
