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