← Search

Seokha Moon

2 accepted papers

2024

Learning Temporal Cues by Predicting Objects Move for Multi-camera 3D Object Detection

ICRA 2024poster

In autonomous driving and robotics, there is a growing interest in utilizing short-term historical data to enhance multi-camera 3D object detection, leveraging the continuous and correlated nature of input video streams. Recent work has focused on spatially aligning BEV-based features over timesteps…

Cited by 0SourceScholar
2024

VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions

ECCV 2024poster

"Predicting future trajectories for other road agents is an essential task for autonomous vehicles. Established trajectory prediction methods primarily use agent tracks generated by a detection and tracking system and HD map as inputs. In this work, we propose a novel method that also incorporates v…