Semantic Scene Understanding with Large Language Models on Unmanned Aerial Vehicles
SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding
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)
Real-time vehicle orientation classification and viewpoint-aware vehicle re-identification
3D Reconstruction by Pretrained Features and Visual-Inertial Odometry
Scene-Graph Embedding for Robust Autonomous Vehicle Perception
A Taxonomy for Car Accidents Predication Model Using Neural Networks
Context-aware anchoring, semantic mapping and active perception for mobile robots
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