36 citations · 88 across the 18 of their papers we have counts for
11 papers · 1 filter
SyNeT: Synthetic Negatives for Traversability Learning
Bomena Kim, Hojun Lee, Younsoo Park +3
Reliable traversability estimation is crucial for autonomous robots to navigate complex outdoor environments safely. Existing self-supervised learning frameworks primarily rely on…
Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid
Parv Kapoor, Ian Higgins, Nikhil Keetha +9
Assured safe-separation is essential for achieving seamless high-density operation of airborne vehicles in a shared airspace. To equip resource-constrained aerial systems with this…
Bundle Adjustment in the Eager Mode
Zitong Zhan, Huan Xu, Zihang Fang +3
Bundle adjustment (BA) is a critical technique in various robotic applications such as simultaneous localization and mapping (SLAM), augmented reality (AR), and photogrammetry. BA…
FoundLoc: Vision-based Onboard Aerial Localization in the Wild
Yao He, Ivan Cisneros, Nikhil Keetha +6
Robust and accurate localization for Unmanned Aerial Vehicles (UAVs) is an essential capability to achieve autonomous, long-range flights. Current methods either rely heavily on GN…
PyPose v0.6: The Imperative Programming Interface for Robotics
Zitong Zhan, Xiangfu Li, Qihang Li +33
PyPose is an open-source library for robot learning. It combines a learning-based approach with physics-based optimization, which enables seamless end-to-end robot learning. It has…
PyPose: A Library for Robot Learning with Physics-based Optimization
Chen Wang, Dasong Gao, Kuan Xu +34
Deep learning has had remarkable success in robotic perception, but its data-centric nature suffers when it comes to generalizing to ever-changing environments. By contrast, physic…
Unified Representation of Geometric Primitives for Graph-SLAM Optimization Using Decomposed Quadrics
Weikun Zhen, Huai Yu, Yaoyu Hu +1
In Simultaneous Localization And Mapping (SLAM) problems, high-level landmarks have the potential to build compact and informative maps compared to traditional point-based landmark…
Targetless Extrinsic Calibration of Stereo Cameras, Thermal Cameras, and Laser Sensors in the Wild
Taimeng Fu, Huai Yu, Wen Yang +2
The fusion of multi-modal sensors has become increasingly popular in autonomous driving and intelligent robots since it can provide richer information than any single sensor, enhan…
TartanAir: A Dataset to Push the Limits of Visual SLAM
Wenshan Wang, Delong Zhu, Xiangwei Wang +6
We present a challenging dataset, the TartanAir, for robot navigation tasks and more. The data is collected in photo-realistic simulation environments with the presence of moving o…
LiDAR Enhanced Structure-from-Motion
Weikun Zhen, Yaoyu Hu, Huai Yu +1
Although Structure-from-Motion (SfM) as a maturing technique has been widely used in many applications, state-of-the-art SfM algorithms are still not robust enough in certain situa…
A Joint Optimization Approach of LiDAR-Camera Fusion for Accurate Dense 3D Reconstructions
Weikun Zhen, Yaoyu Hu, Jingfeng Liu +1
Fusing data from LiDAR and camera is conceptually attractive because of their complementary properties. For instance, camera images are higher resolution and have colors, while LiD…