research
∙
06/14/2023
Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images
Recent camera-based 3D object detection methods have introduced sequenti...
share
research
∙
04/03/2023
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception
Autonomous driving requires an accurate and fast 3D perception system th...
research
∙
01/10/2023
InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning
The construction of lightweight High-definition (HD) maps containing geo...
research
∙
11/24/2022
3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection
Fusing data from cameras and LiDAR sensors is an essential technique to ...
research
∙
10/29/2022
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision
Recent advances in monocular 3D detection leverage a depth estimation ne...
research
∙
09/14/2022
CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer
Camera and radar sensors have significant advantages in cost, reliabilit...
research
∙
06/17/2022
Improving Diversity of Multiple Trajectory Prediction based on Map-adaptive Lane Loss
Prior arts in the field of motion predictions for autonomous driving ten...
research
∙
12/14/2021
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds
In this paper, we propose a new joint object detection and tracking (JoD...
research
∙
04/01/2021
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
In this paper, we address the problem of predicting the future motion of...
research
∙
02/28/2020