3 papers
cs.CV2025
VLA-R: Vision-Language Action Retrieval toward Open-World End-to-End Autonomous Driving
Hyunki Seong, Seongwoo Moon, Hojin Ahn +2
Exploring open-world situations in an end-to-end manner is a promising yet challenging task due to the need for strong generalization capabilities. In particular, end-to-end autono…
cs.CV2025
MonoDINO-DETR: Depth-Enhanced Monocular 3D Object Detection Using a Vision Foundation Model
Jihyeok Kim, Seongwoo Moon, Sungwon Nah +1
This paper proposes novel methods to enhance the performance of monocular 3D object detection models by leveraging the generalized feature extraction capabilities of a vision found…
cs.RO2024
Words to Wheels: Vision-Based Autonomous Driving Understanding Human Language Instructions Using Foundation Models
Chanhoe Ryu, Hyunki Seong, Daegyu Lee +3
This paper introduces an innovative application of foundation models, enabling Unmanned Ground Vehicles (UGVs) equipped with an RGB-D camera to navigate to designated destinations…