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Hyundai Motor Company
- Seoul, South Korea
- [email protected]
- https://autolab.hanyang.ac.kr/
- @jaeyoungjo1288
- https://scholar.google.com/citations?user=JXe4josAAAAJ&hl=ko&oi=ao
- in/jaeyoung-jo-510179280
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Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
[ICRA 2025] ELite: Ephemerality meets LiDAR-based Lifelong Mapping
A LiDAR-Inertial Odometry with Efficient Uncertainty Analysis.
[RA-L 2024] GRIL-Calib: Targetless Ground Robot IMU-LiDAR Extrinsic Calibration Method using Ground Plane Motion Constraints
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
A collection of GICP-based fast point cloud registration algorithms
[ICLR'23 Spotlight & ECCV'24 & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the human researcher toward implementing your research ideas
A Lidar-Inertial State Estimator for Robust and Efficient Navigation based on iterated error-state Kalman filter
(ICRA '25) Radar4VoxMap: Accurate Odometry from Blurred Radar Observations
[TMECH'2024] Official codes of ”PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation“
A fast and robust global registration library for outdoor LiDAR point clouds.
Super fast implementation of ICP in CUDA for compute capable devices 3.5 or higher
Code for "MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training", Arxiv 2025.
Optimization Based and Point Uncertainty Aware Radar-inertial Odometry for 4D Radar System
Efficient and parallel algorithms for point cloud registration [C++, Python]
New repo collection for NVIDIA Cosmos: https://github.com/nvidia-cosmos
A generative world for general-purpose robotics & embodied AI learning.
C# OpenGL Particle Simulation, GPU accelerated