558 citations · 1.5k across the 22 of their papers we have counts for
6 papers · 1 filter
Multi-View Adaptive Fusion Network for 3D Object Detection
Guojun Wang, Bin Tian, Yachen Zhang +3
3D object detection based on LiDAR-camera fusion is becoming an emerging research theme for autonomous driving. However, it has been surprisingly difficult to effectively fuse both…
MSAF: Multimodal Split Attention Fusion
Lang Su, Chuqing Hu, Guofa Li +1
Multimodal learning mimics the reasoning process of the human multi-sensory system, which is used to perceive the surrounding world. While making a prediction, the human brain tend…
CenterNet3D: An Anchor Free Object Detector for Point Cloud
Guojun Wang, Jian Wu, Bin Tian +3
Accurate and fast 3D object detection from point clouds is a key task in autonomous driving. Existing one-stage 3D object detection methods can achieve real-time performance, howev…
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Ying Li, Lingfei Ma, Zilong Zhong +4
Recently, the advancement of deep learning in discriminative feature learning from 3D LiDAR data has led to rapid development in the field of autonomous driving. However, automated…
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
Yaodong Cui, Ren Chen, Wenbo Chu +4
Autonomous vehicles were experiencing rapid development in the past few years. However, achieving full autonomy is not a trivial task, due to the nature of the complex and dynamic…
Affordance Learning In Direct Perception for Autonomous Driving
Chen Sun, Jean M. Uwabeza Vianney, Dongpu Cao
Recent development in autonomous driving involves high-level computer vision and detailed road scene understanding. Today, most autonomous vehicles are using mediated perception ap…