-
KAIST
- Daejeon, South Korea
- http://engcang.github.io
- channel/UC1Bui82br7_gmlaVRcCERcQ
Highlights
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Lists (26)
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AI
calibration
dataset
Detection / Segmentation
Drone stuff
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exploration/ActiveSLAM/OIPP
exploration/ActiveSLAM/OIPP/reconground robot navigation
High level intent understanding
LLM
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mapping framework
mapping lib
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VSLAM
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M3DGR: A Multi-sensor, Multi-scenario and Massive-baseline SLAM Dataset for Ground Robots(IROS2025)
VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments
AgriLiRa4D: A Multi-Sensor UAV Dataset for Robust SLAM in Challenging Agricultural Fields
A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
Code repository for the method MonoSpheres for large-scale monocular UAV exploration
RIV-SLAM: Radar-Inertial-Velocity optimization based graph SLAM
This repository contains links and instructions for a radar odometry dataset
A Model Predictive Path Integral control algorithm for MeshNav.
GaRLILEO: Gravity-aligned Radar-Leg-Inertial Enhanced Odometry
A highly robust and accurate LiDAR-only, LiDAR-inertial odometry
Tightly-Coupled Lidar Inertial Odometry
Multi-Mapcher: Loop closure detection-free heterogeneous LiDAR multi-session SLAM leveraging outlier-robust registration for autonomous vehicles (T-IV)
"AI-Trader: Can AI Beat the Market?" Live Trading Bench: https://ai4trade.ai Tech Report Link: https://arxiv.org/abs/2512.10971
Official page for SGA-DPCC (Scene Graph-Aware Deep Point Cloud Compression), accepted @ RA-L'25, to be presented @ ICRA'26
A Decentralized Omnidirectional Visual-Inertial-UWB State Estimation System for Aerial Swar.
OKVIS2-X: Open Keyframe-based Visual-Inertial SLAM Configurable with Dense Depth or LiDAR, and GNSS
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
A GPU-Accelerated Differentiable Simulation Framework for Efficient Quadrotor Policy Learning
A Robust and Efficient LiDAR-Inertial Odometry System with a Compact Mapping Strategy.
Release repo for our SLAM Handbook