research
∙
01/31/2023
Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation
The process of designing costmaps for off-road driving tasks is often a ...
share
research
∙
09/22/2022
How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability
Estimating terrain traversability in off-road environments requires reas...
research
∙
09/17/2022
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic Environments
Learning-based visual odometry (VO) algorithms achieve remarkable perfor...
research
∙
05/03/2022
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models
We present TartanDrive, a large scale dataset for learning dynamics mode...
research
∙
05/10/2021
VDB-EDT: An Efficient Euclidean Distance Transform Algorithm Based on VDB Data Structure
This paper presents a fundamental algorithm, called VDB-EDT, for Euclide...
research
∙
03/13/2021
ORStereo: Occlusion-Aware Recurrent Stereo Matching for 4K-Resolution Images
Stereo reconstruction models trained on small images do not generalize w...
research
∙
10/31/2020
TartanVO: A Generalizable Learning-based VO
We present the first learning-based visual odometry (VO) model, which ge...
research
∙
10/15/2019
Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making
Aerial cinematography is revolutionizing industries that require live an...
research
∙
04/04/2019
Can a Robot Become a Movie Director? Learning Artistic Principles for Aerial Cinematography
Aerial filming is becoming more and more popular thanks to the recent ad...
research
∙
04/04/2019
Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments
The use of drones for aerial cinematography has revolutionized several a...
research
∙
03/26/2019
Improved Generalization of Heading Direction Estimation for Aerial Filming Using Semi-supervised Regression
In the task of Autonomous aerial filming of a moving actor (e.g. a perso...
research
∙
10/16/2018
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories
Predicting the motion of a mobile agent from a third-person perspective ...
research
∙
08/28/2018
Autonomous drone cinematographer: Using artistic principles to create smooth, safe, occlusion-free trajectories for aerial filming
Autonomous aerial cinematography has the potential to enable automatic c...
research
∙
02/28/2018
