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)
Vision for Autonomous Vehicles and Probes (Dagstuhl Seminar 15461)
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