A variety of Neural Radiance Fields (NeRF) methods have recently achieve...
Segmentation of drivable roads and negative obstacles is critical to the...
Most current LiDAR simultaneous localization and mapping (SLAM) systems ...
The graph structure of road networks is critical for downstream tasks of...
With the rapid development of autonomous vehicles, there witnesses a boo...
Road network graphs provide critical information for autonomous vehicle
...
Deep learning-based image retrieval techniques for the loop closure dete...
High-Definition (HD) maps can provide precise geometric and semantic
inf...
Researchers are increasingly focusing on intelligent games as a hot rese...
Multiview registration is used to estimate Rigid Body Transformations (R...
Traditional approaches for Visual Simultaneous Localization and Mapping
...
Road curb detection is important for autonomous driving. It can be used ...
Road-boundary detection is important for autonomous driving. For example...
Detection of road curbs is an essential capability for autonomous drivin...
Path planning is a fundamental capability for autonomous navigation of
r...
Joint detection of drivable areas and road anomalies is very important f...
In autonomous driving, navigation through unsignaled intersections with ...
Visual Localization is an essential component in autonomous navigation.
...
The joint detection of drivable areas and road anomalies is a crucial ta...
The segmentation of drivable areas and road anomalies are critical
capab...
Incorporating prior structure information into the visual state estimati...
Since December 2019, the coronavirus disease 2019 (COVID-19) has spread
...
Metric localization plays a critical role in vision-based navigation. Fo...
Recent machine learning-based multi-object tracking (MOT) frameworks are...
Drifting is a complicated task for autonomous vehicle control. Most
trad...
Policy distillation in deep reinforcement learning provides an effective...
In this paper, a robust lane detection algorithm is proposed, where the
...
Moving objects can greatly jeopardize the performance of a visual
simult...