Semantic Scene Understanding with Large Language Models on Unmanned Aerial Vehicles
SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding
Real-time vehicle orientation classification and viewpoint-aware vehicle re-identification
Vision for Autonomous Vehicles and Probes (Dagstuhl Seminar 15461)
Vision for Autonomous Vehicles and Probes (Dagstuhl Seminar 15461)
3D Reconstruction by Pretrained Features and Visual-Inertial Odometry
Vision for Autonomous Vehicles and Probes (Dagstuhl Seminar 15461)
Scene-Graph Embedding for Robust Autonomous Vehicle Perception
Context-aware anchoring, semantic mapping and active perception for mobile robots
An Integrated Approach for Traffic Scene Understanding from Monocular Cameras
A Taxonomy for Car Accidents Predication Model Using Neural Networks
Real-time object determination for space robotics
Predicting driver behaviour at intersections based on driver gaze and traffic light recognition
Predicting driver behaviour at intersections based on driver gaze and traffic light recognition
Towards Autonomous Miniature Rotorcrafts in Cluttered Environments for Scene Understanding
A Multimodal ADAS System for Unmarked Urban Scenarios Based on Road Context Understanding
Reading the Road: Road Marking Classification and Interpretation
Efficient Road Scene Understanding for Intelligent Vehicles Using Compositional Hierarchical Models