9 citations · 9 across the 5 of their papers we have counts for
5 papers
MapTCL: Temporal Consistency Learning via Bidirectional Alignment for Vectorized HD Map Construction
Hyeonseo Kim, Juyeb Shin, Hyeonjun Jeong +2
Constructing reliable online HD maps remains challenging in dynamic urban environments due to moving objects and occlusions. While recent works employ feature-level temporal fusion…
To View Transform or Not to View Transform: NeRF-based Pre-training Perspective
Hyeonjun Jeong, Juyeb Shin, Dongsuk Kum
Neural radiance fields (NeRFs) have emerged as a prominent pre-training paradigm for vision-centric autonomous driving, which enhances 3D geometry and appearance understanding in a…
REOcc: Camera-Radar Fusion with Radar Feature Enrichment for 3D Occupancy Prediction
Chaehee Song, Sanmin Kim, Hyeonjun Jeong +3
Vision-based 3D occupancy prediction has made significant advancements, but its reliance on cameras alone struggles in challenging environments. This limitation has driven the adop…
LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object Detection
Sanmin Kim, Youngseok Kim, Sihwan Hwang +2
Recent advancements in camera-based 3D object detection have introduced cross-modal knowledge distillation to bridge the performance gap with LiDAR 3D detectors, leveraging the pre…
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…