In the field of robotics, the point cloud has become an essential map
re...
Predicting accurate depth with monocular images is important for low-cos...
Multi-agent path finding (MAPF) is the problem of moving agents to the g...
The graph structure of road networks is critical for downstream tasks of...
Safely interacting with other traffic participants is one of the core
re...
With the rapid development of autonomous vehicles, there witnesses a boo...
Robots are integrating more huge-size models to enrich functions and imp...
Combining multiple sensors enables a robot to maximize its perceptual
aw...
Having good knowledge of terrain information is essential for improving ...
Inspired by the fact that humans use diverse sensory organs to perceive ...
Road network graphs provide critical information for autonomous vehicle
...
High-Definition (HD) maps can provide precise geometric and semantic
inf...
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 ...
Modern LiDAR-SLAM (L-SLAM) systems have shown excellent results in
large...
Object detection in 3D with stereo cameras is an important problem in
co...
A technological revolution is occurring in the field of robotics with th...
Since December 2019, the coronavirus disease 2019 (COVID-19) has spread
...
Humans are capable of learning a new behavior by observing others to per...
In complex environments, low-cost and robust localization is a challengi...
Humans are capable of learning a new behavior by observing others perfor...
This paper presents a robust roll angle estimation algorithm, which is
d...
Multiple lidars are prevalently used on mobile vehicles for rendering a ...
This paper was motivated by the problem of how to make robots fuse and
t...
Lane detection is very important for self-driving vehicles. In recent ye...