Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks
3D lane detection plays a crucial role in autonomous driving by extracting structural and
traffic information from the road in 3D space to assist the self-driving car in rational, safe, and …
traffic information from the road in 3D space to assist the self-driving car in rational, safe, and …
Bezier Everywhere All at Once: Learning Drivable Lanes as Bezier Graphs
Abstract Knowledge of lane topology is a core problem in autonomous driving. Aerial
imagery can provide high resolution quickly updatable lane source data but detecting lanes …
imagery can provide high resolution quickly updatable lane source data but detecting lanes …
TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes
As an emerging task that integrates perception and reasoning, topology reasoning in
autonomous driving scenes has recently garnered widespread attention. However, existing …
autonomous driving scenes has recently garnered widespread attention. However, existing …
L2T-BEV: Local Lane Topology Prediction from Onboard Surround-View Cameras in Bird's Eye View Perspective
S Ye, T Li, R Li, Z Pan - Chinese Conference on Pattern Recognition and …, 2023 - Springer
High definition maps (HDMaps) serve as the foundation for autonomous vehicles,
encompassing various driving scenario elements, among which lane topology is critically …
encompassing various driving scenario elements, among which lane topology is critically …
Fusing Segmentation and Domain-knowledge Model to Extract Intersection Topologies From Aerial/Terrestrial Orthographic Images
JA Vijverberg, B Beers - Electronic Imaging, 2024 - library.imaging.org
Automated extraction of intersection topologies from aerial and street-level images is
relevant for Smart City traffic-control and safety applications. The intersection topology is …
relevant for Smart City traffic-control and safety applications. The intersection topology is …