26 citations · 88 across the 18 of their papers we have counts for
4 papers · 1 filter
RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection
Jisong Kim, Minjae Seong, Geonho Bang +2
While LiDAR sensors have been successfully applied to 3D object detection, the affordability of radar and camera sensors has led to a growing interest in fusing radars and cameras…
Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images
Sanmin Kim, Youngseok Kim, In-Jae Lee +1
Recent camera-based 3D object detection methods have introduced sequential frames to improve the detection performance hoping that multiple frames would mitigate the large depth es…
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception
Youngseok Kim, Juyeb Shin, Sanmin Kim +3
Autonomous driving requires an accurate and fast 3D perception system that includes 3D object detection, tracking, and segmentation. Although recent low-cost camera-based approache…
InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning
Juyeb Shin, Hyeonjun Jeong, Francois Rameau +1
For scalable autonomous driving, a robust map-based localization system, independent of GPS, is fundamental. To achieve such map-based localization, online high-definition (HD) map…