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jylhaust
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Effectively Detecting Loop Closures using Point Cloud Density Maps
Python binding of SLAM graph optimization framework g2o
点云分割论文2017 Fast segmentation of 3d point clouds: A paradigm on lidar data for autonomous vehicle applications
GeoGaussian: Geometry-aware Gaussian Splatting for Scene Rendering
[ECCV 2024] MAP-ADAPT: Real-Time Quality-Adaptive Semantic 3D Maps
8
Updated Jul 16, 2024
INS-Centric Visual-Inertial Navigation System With LiDAR Enhancement
CCM-SLAM: Robust and Efficient Centralized Collaborative Monocular SLAM for Robotic Teams
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
A collection of GTSAM factors and optimizers for point cloud SLAM
GLIM: versatile and extensible range-based 3D localization and mapping framework
CT-LIO: Continuous-Time LiDAR-Inertial Odometry
FI-SLAM: Feature Information-Based Robust and Efficient Vision-Inertial-Aided LiDAR SLAM
25
Updated Jun 4, 2024
[ICLR 2024] Map Learning with Lane Segment for Autonomous Driving
An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes
[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving
[ICLR2024] TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
[ECCV 2024] This is the official implementation of MapQR, an end-to-end method with an emphasis on enhancing query capabilities for constructing online vectorized maps.
This is the code repository for the IEEE-RAL'24 paper "FMCW-LIO: A Doppler LiDAR-Inertial Odometry"
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Updated Jul 2, 2024
Swarm-LIO2: Decentralized, Efficient LiDAR-inertial Odometry for UAV Swarms
A LiDAR-Inertial Odometry with Efficient Uncertainty Analysis.
A lightweight library for instance-level visual road marking extraction, parameterization, mapping, etc.
a Multi-Map LiDAR-Inertial System for Over-Degraded Environments
ANSI C library for NURBS, B-Splines, and Bézier curves with interfaces for C++, C#, D, Go, Java, Javascript, Lua, Octave, PHP, Python, R, and Ruby.