10 papers
Self-supervised Geometry Reasoning for LiDAR Simultaneous Localization and Mapping
Jiwoo Kim, Jinwoo Lee, Woojae Shin +2
LiDAR simultaneous localization and mapping (SLAM) relies on local geometric quantities such as covariances, correspondences, and surface structures. However, most existing pipelin…
Learning Point Cloud Geometry as a Statistical Manifold: Theory and Practice
Jinwoo Lee, Jiwoo Kim, Woojae Shin +2
Point clouds are a fundamental representation for robotic perception tasks such as localization, mapping, and object pose estimation. However, LiDAR-acquired point clouds are inher…
Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression
Zhirui Dai, Tianxing Fan, Mani Amani +4
Accurate and efficient scene representation is crucial for robotic tasks such as motion planning, manipulation, and navigation. Signed distance functions (SDFs) have emerged as a p…
Communication-Free Collective Navigation for a Swarm of UAVs via LiDAR-Based Deep Reinforcement Learning
Myong-Yol Choi, Hankyoul Ko, Hanse Cho +4
This paper presents a deep reinforcement learning (DRL) based controller for collective navigation of unmanned aerial vehicle (UAV) swarms in communication-denied environments, ena…
Doppler Correspondence: Non-Iterative Scan Matching With Doppler Velocity-Based Correspondence
Jiwoo Kim, Geunsik Bae, Changseung Kim +3
Achieving successful scan matching is essential for LiDAR odometry. However, in challenging environments with adverse weather conditions or repetitive geometric patterns, LiDAR odo…
RAPID: Robust and Agile Planner Using Inverse Reinforcement Learning for Vision-Based Drone Navigation
Minwoo Kim, Geunsik Bae, Jinwoo Lee +5
This paper introduces a learning-based visual planner for agile drone flight in cluttered environments. The proposed planner generates collision-free waypoints in milliseconds, ena…