7 citations · 9 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Enhancing State Estimator for Autonomous Racing : Leveraging Multi-modal System and Managing Computing Resources
Daegyu Lee, Hyunwoo Nam, Chanhoe Ryu +3
This paper introduces an approach that enhances the state estimator for high-speed autonomous race cars, addressing challenges from unreliable measurements, localization failures,…