Due to the domain differences and unbalanced disparity distribution acro...
Simulating camera sensors is a crucial task in autonomous driving. Altho...
Proximity sensing detects an object's presence without contact. However,...
Interactive reinforcement learning has shown promise in learning complex...
Generating safety-critical scenarios is essential for testing and verify...
Recent advances in neural implicit fields enables rapidly reconstructing...
Autonomous excavation is a challenging task. The unknown contact dynamic...
In this work, we first formulate the problem of goal-conditioned robotic...
LiDAR devices are widely used in autonomous driving scenarios and resear...
LiDAR-based 3D Object detectors have achieved impressive performances in...
Neural Radiance Fields (NeRFs) have been successfully used for scene
rep...
We present a visual and inertial-based terrain classification network (V...
Dominated point cloud-based 3D object detectors in autonomous driving
sc...
Existing approaches for unsupervised point cloud pre-training are constr...
In this paper, we introduce a generalized continuous collision detection...
Excavation of irregular rigid objects in clutter, such as fragmented roc...
In this paper, we propose an excavator activity analysis and safety
moni...
We present Terrain Traversability Mapping (TTM), a real-time mapping app...
Existing deep learning-based approaches for monocular 3D object detectio...
Remarkable results have been achieved by DCNN based self-supervised dept...
Autonomous excavation for hard or compact materials, especially irregula...
Accurate detection of obstacles in 3D is an essential task for autonomou...
With the advance of deep learning technology, automatic video generation...
The clustering of autonomous driving scenario data can substantially ben...
We present a novel approach to robustly detect and perceive vehicles in
...
3D object detection is a key perception component in autonomous driving....
3D object detection from a single image is an important task in Autonomo...
Depth completion aims to recover a dense depth map from a sparse depth m...
Holistically understanding an object and its 3D movable parts through vi...
Natural language-based robotic navigation remains a challenging problem ...
Excavators are widely used for material-handling applications in unstruc...
In this paper, we present a novel optimization-based framework for auton...
We present an Object-aware Feature Aggregation (OFA) module for video ob...
We present a novel approach to detect, segment, and reconstruct complete...
In this paper, we present a minimal torque and time variable trajectory
...