Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/runjtu/awesome-and-novel-works-in-slam
collecting some new ideas for slam (semantic, NeRF, BEV, Nav, Learning Methods) and will update this repo weekly, for both engineering and academic usings.
https://github.com/runjtu/awesome-and-novel-works-in-slam
List: awesome-and-novel-works-in-slam
nerf paper-list phd-application robotics slam
Last synced: 3 months ago
JSON representation
collecting some new ideas for slam (semantic, NeRF, BEV, Nav, Learning Methods) and will update this repo weekly, for both engineering and academic usings.
- Host: GitHub
- URL: https://github.com/runjtu/awesome-and-novel-works-in-slam
- Owner: runjtu
- License: mit
- Created: 2023-08-10T05:21:09.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-09T13:36:23.000Z (12 months ago)
- Last Synced: 2024-05-23T03:02:09.037Z (5 months ago)
- Topics: nerf, paper-list, phd-application, robotics, slam
- Homepage:
- Size: 60.5 KB
- Stars: 9
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- ultimate-awesome - awesome-and-novel-works-in-slam - Collecting some new ideas for slam (semantic, NeRF, BEV, Nav, Learning Methods) and will update this repo weekly, for both engineering and academic usings. (Other Lists / PowerShell Lists)
README
# awesome-and-novel-works-in-slam [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)
This repo contains a mostly curative (new derives from old) list of **awesome and novel works in slam**
If you find this repository useful, please consider STARing this list. Feel free to share this list with others! More comments will be found below, yet just opinions of mine.
---
## Overview- [NeRF/3DGS](#NeRF/3DGS)
- [v2x](#v2x)
- [Semantic](#semantic)
- [novelcv](#novelcv)
- [Largemodel](#largemodel)
- [leaders](#leaders)
- [journals](#journals)
- [conferences](#conferences)
- [Datasets](#Datasets)
- [Competition](#Competition)
- [Tools](#Tools)
- [Sim](#Sim)
- [BuySensors](#BuySensors)
- [FindIntern](#FindIntern)
- [WeMedia](#WeMedia)
- [WhySDMap](#WhySDMap)
- [WhyTraversability](#WhyTraversability)
- [WhyLongTerm](#WhyLongTerm)---
## NeRF/3DGS
Follow [[Jiheng Yang](https://github.com/yangjiheng/nerf_and_beyond_docs)] for more information on NeRF/3DGS, He will update news weekly, best Chinese community for NeRF/3DGS, I will do supplement when I have time.
* **Gaussian Splatting**: "3D Gaussian Splatting for Real-Time Radiance Field Rendering", *ACM Transactions on Graphics 2023*. [[Paper](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/)] [[Code](https://github.com/graphdeco-inria/gaussian-splatting)]
* **Neural-Sim**: "Learning to Generate Training Data with NeRF", *ECCV 2022*. [[Paper](https://arxiv.org/pdf/2207.11368.pdf)] [[Code](https://github.com/gyhandy/Neural-Sim-NeRF)] [[Webpage](https://fylwen.github.io/disp6d.html)]
* **iNeRF**: "Inverting Neural Radiance Fields for Pose Estimation", *IROS, 2021*. [[Paper](https://arxiv.org/pdf/2012.05877.pdf)] [[Code](https://github.com/yenchenlin/iNeRF-public)] [[Website](https://yenchenlin.me/inerf/)] [[Dataset](https://github.com/BerkeleyAutomation/dex-nerf-datasets)]
* **iMAP**: "Implicit Mapping and Positioning in Real-Time", *ICCV, 2021*. [[Paper](https://arxiv.org/abs/2103.12352)] [[Code](https://edgarsucar.github.io/iMAP/)]
* **SHINE-Mapping**: "Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations", *ICRA, 2023*. [[Paper](https://arxiv.org/pdf/2210.02299.pdf)] [[Code](https://github.com/PRBonn/SHINE_mapping)]
* **H2-Mapping**: "Real-time Dense Mapping Using Hierarchical Hybrid Representation", *RA-L, 2023*. [[Paper](https://arxiv.org/pdf/2306.03207.pdf)] [[Code](https://github.com/SYSU-STAR/H2-Mapping)]
* **LATITUDE**: Robotic Global Localization with Truncated Dynamic Low-pass Filter in City-scale NeRF, *ICRA, 2023*. [[Paper](https://arxiv.org/pdf/2209.09357.pdf)] [[Code](https://github.com/jike5/LATITUDE)]
* **NeuSE**: "Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects", *arXiv*. [[Paper](https://arxiv.org/pdf/2303.07308.pdf)] [[Code](https://neuse-slam.github.io/neuse/)]
* **ObjectFusion**: "Accurate object-level SLAM with neural object priors", *Graphical Models, 2022*. [[Paper](https://www.sciencedirect.com/science/article/pii/S1524070322000418)]
* **NDF_Change**: "Robust Change Detection Based on Neural Descriptor Fields", *IROS, 2022*. [[Paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9981246)]
* **LNDF**: "Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation", *ICRA, 2023*. [[Paper](https://arxiv.org/abs/2302.03573)] [[Webpage](https://elchun.github.io/lndf/)]
- **NeRF-LOAM**: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping, *arXiv*. [[Paper](https://arxiv.org/pdf/2303.10709.pdf)] [[Code](https://github.com/JunyuanDeng/NeRF-LOAM)]
* "Implicit Map Augmentation for Relocalization", *ECCV Workshop, 2022*. [[Paper](https://link.springer.com/chapter/10.1007/978-3-031-25066-8_36)]
* **Co-SLAM**: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM, *CVPR, 2023*. [[Paper](https://arxiv.org/pdf/2304.14377.pdf)] [[Website](https://hengyiwang.github.io/projects/CoSLAM)]
* Neural Implicit Dense Semantic SLAM, *arXiv, 2023*. [[Paper](https://arxiv.org/pdf/2304.14560.pdf)]* **NeRF-Navigation**: "Vision-Only Robot Navigation in a Neural Radiance World", *ICRA, 2022*. [[Paper](https://mikh3x4.github.io/nerf-navigation/assets/NeRF_Navigation.pdf)] [[Code](https://github.com/mikh3x4/nerf-navigation)] [[Website](https://mikh3x4.github.io/nerf-navigation/)]
* **ESDF**: "Sampling-free obstacle gradients and reactive planning in Neural Radiance Fields", *arXiv*. [[Paper](https://arxiv.org/abs/2205.01389)]
---
## v2x* **HighwayEnv**: "An Environment for Autonomous Driving Decision-Making", *GitHub*. [[Code](https://github.com/Farama-Foundation/HighwayEnv)]
* **OpenLane-V2**: "The World's First Perception and Reasoning Benchmark for Scene Structure in Autonomous Driving.", *GitHub*. [[Code](https://github.com/OpenDriveLab/OpenLane-V2)]
---
## semantic* **OPen3d**: "A Modern Library for 3D Data Processing", *arxiv*. [[Paper](https://arxiv.org/abs/1801.09847)] [[Code](https://github.com/isl-org/Open3D-ML)]
---
## novelcv* **UniDistill**: "A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View", *Github*. [[Code](https://github.com/megvii-research/CVPR2023-UniDistill)]
---
## largemodel* **DriveLikeAHuman**: "Rethinking Autonomous Driving with Large Language Models", *CVPR, 2023*. [[Code](https://github.com/PJLab-ADG/DriveLikeAHuman)]
* **learnLLM**[[Code](https://github.com/Lordog/dive-into-llms)]
----
## leaders### Industries and the off-campus
* **NVlabs** [[Homepage](https://github.com/NVlabs)]
* **NVIDIA Isaac** [[Homepage](https://github.com/nvidia-isaac)]
* **NVIDIA AI IOT** [[Homepage](https://github.com/NVIDIA-AI-IOT)]
* **ROS-device-drivers** [[Homepage](https://github.com/ros-drivers)]
* **dora-rs** [[Homepage](https://github.com/dora-rs)]
* **Eclipse zenoh** [[Homepage](https://github.com/eclipse-zenoh)]
* **ADLINK-ROS** [[Homepage](https://github.com/Adlink-ROS)]
* **eProsima** [[Homepage](https://github.com/eProsima)]
* **ANYbotics** [[Homepage](https://github.com/ANYbotics)]
* **Idiap Research Institute** [[Homepage](https://github.com/idiap)]
* **Waymo Research** [[Homepage](https://github.com/waymo-research)]
* **Bosch Research** [[Homepage](https://github.com/boschresearch)]
* **Motional** [[Homepage](https://github.com/nutonomy)]
* **valeo.ai** [[Homepage](https://github.com/valeoai)]
* **wayveai** [[Homepage](https://github.com/wayveai)]
* **Foxglove** [[Homepage](https://github.com/foxglove)]
* **Udacity** [[Homepage](https://github.com/udacity)]
* **livox** [[Homepage](https://github.com/Livox-SDK)]
* **ADG@PJLab** [[Homepage](https://github.com/PJLab-ADG)]
* **OpenDriveLab** [[Homepage](https://github.com/OpenDriveLab)]
* **Alibaba AD Lab** [[Homepage](https://github.com/ADLab-AutoDrive)]
* **Sense-GVT** [[Homepage](https://github.com/Sense-GVT)]
* **Megvii Robot** [[Homepage](https://github.com/MegviiRobot)]
* **Megvii Research** [[Homepage](https://github.com/megvii-research)]
* **Baidu Apollo Auto** [[Homepage](https://github.com/ApolloAuto)]
* **qcraftai** [[Homepage](https://github.com/qcraftai)]
* **haomoai** [[Homepage](https://github.com/haomo-ai)]
* **HUAWEI Noah's Ark Lab** [[Homepage](https://github.com/huawei-noah)]
* **Toyota Research Institute Machine Learning** [[Homepage](https://github.com/TRI-ML)]
### Europe
* **Oxford Control Group** [[Homepage](https://github.com/oxfordcontrol)]
* **Oxford Dynamic Robot Systems Group** [[Homepage](https://github.com/ori-drs)]
* **ETHZ Robotic Systems Lab** [[Homepage](https://github.com/leggedrobotics)]* **ETHZ Autonomous Systems Lab** [[Homepage](https://github.com/ethz-asl)]
* **ETHZ Computer-Vision-and-Geometry-Lab** [[Homepage](https://github.com/cvg)]
* **ETHZ Visual Intelligence and Systems Group** [[Homepage](https://github.com/SysCV)]
* **ETHZ University of Cyprus Vision for Robotics Lab** [[Homepage](https://github.com/VIS4ROB-lab)]
* **EPFL CV LAB** [[Homepage](https://github.com/cvlab-epfl)]
* **TUM-Institue-of-Auotomative-Technology** [[Homepage](https://github.com/TUMFTM)]
* **TUM-Computer-Vision-Group** [[Homepage](https://github.com/tum-vision)]
* **TUM Smart Robotics Lab** [[Homepage](https://github.com/smartroboticslab)]
* **Heidelberg Computer Vision and Learning Lab** [[Homepage](https://github.com/vislearn)]
* **UFR Robot Learning** [[Homepage](https://github.com/robot-learning-freiburg)]
* **University of Tübingen** [[Homepage](https://github.com/autonomousvision)]
* **Bonn Photogrammetry Robotics** [[Homepage](https://github.com/PRBonn)]
* **Karlsruhe Institute of Technology Institute of Measurement and Control Systems** [[Homepage](https://github.com/KIT-MRT)]* **RWTH Aachen Institute of Automatic Control** [[Homepage](https://github.com/rwth-irt)]
* **RWTH Aachen Institut für Kraftfahrzeuge ika** [[Homepage](https://github.com/ika-rwth-aachen)]
* **KTH Robotics Perception and Learning** [[Homepage](https://github.com/KTH-RPL)]
* **University of Turku Turku Intelligent Embedded and Robotic Systems Lab** [[Homepage](https://github.com/TIERS)]
* **NMBU Robotics** [[Homepage](https://github.com/NMBURobotics)]
* **TU Delft 3D geoinformation research group** [[Homepage](https://github.com/tudelft3d)]
* **Poznan University of Technology Mobile Robots Lab** [[Homepage](https://github.com/LRMPUT)]
### Notrh America
* **Stanford Autonomous Systems Lab** [[Homepage](https://github.com/StanfordASL)]
* **Stanford Robotics Embodied Artificial Intelligence Lab REAL** [[Homepage](https://github.com/real-stanford)]
* **Stanford Vision and Learning Lab** [[Homepage](https://github.com/StanfordVL)]
* **Stanford Computational Vision and Geometry Lab** [[Homepage](https://github.com/cvgl)]
* **Stanford Center for Research on Foundation Models** [[Homepage](https://github.com/stanford-crfm)]
* **MIT-SPARKs** [[Homepage](https://github.com/MIT-SPARK)]
* **MIT Driverless Perception Team** [[Homepage](https://github.com/cv-core)]
* **MIT CSAIL Computer Vision** [[Homepage](https://github.com/CSAILVision)]
* **MIT's Marine Robotics Group** [[Homepage](https://github.com/MarineRoboticsGroup)]
* **MIT HAN Lab** [[Homepage](https://github.com/mit-han-lab)]
* **MIT Aerospace Controls Laboratory** [[Homepage](https://github.com/mit-acl)]
* **CMU Robotics Institute AirLab** [[Homepage](https://github.com/castacks)]
* **CMU Robotic Exploration Lab** [[Homepage](https://github.com/RoboticExplorationLab)]
* **CMU Robot Perception Lab** [[Homepage](https://github.com/rpl-cmu)]
* **Princeton Computational Imaging** [[Homepage](https://github.com/princeton-computational-imaging)]
* **UPenn Perception Action Learning Group** [[Homepage](https://github.com/penn-pal-lab)]
* **UPenn Kumar Robotics** [[Homepage](https://github.com/KumarRobotics)]
* **UCB Model Predictive Control Laboratory** [[Homepage](https://github.com/MPC-Berkeley)]
* **UCLA Verifiable & Control-Theoretic Robotics Laboratory** [[Homepage](https://github.com/vectr-ucla)]* **UCLA Mobility Lab** [[Homepage](https://github.com/ucla-mobility)]
* **UCSD Existential Robotics Lab** [[Homepage](https://github.com/ExistentialRobotics)]
* **Umich Ford Center for Autonomous Vehicles FCAV** [[Homepage](https://github.com/umautobots)]
* **Umich The Autonomous Robotic Manipulation Lab studies motion planning manipulation human-robot collaboration** [[Homepage](https://github.com/UM-ARM-Lab)]
* **Umich Dynamic Legged Locomotion Robotics Lab** [[Homepage](https://github.com/UMich-BipedLab)]
* **NYU AI4CE Lab** [[Homepage](https://github.com/ai4ce)]
* **GaTech BORG Lab** [[Homepage](https://github.com/borglab)]
* **GaTech Intelligent Vision and Automation Laboratory IVA Lab** [[Homepage](https://github.com/ivalab)]
* **Texas Austin Autonomous Mobile Robotics Laboratory** [[Homepage](https://github.com/ut-amrl)]
* **University of Delaware Robot Perception Navigation Group RPNG** [[Homepage](https://github.com/rpng)]
* **Virginia Tech Transportation Institute** [[Homepage](https://github.com/VTTI)]
* **SIT Robust Field Autonomy Lab** [[Homepage](https://github.com/RobustFieldAutonomyLab)]
* **UWaterloo CL2** [[Homepage](https://github.com/CL2-UWaterloo)]
* **UBC Computer Vision Group** [[Homepage](https://github.com/ubc-vision)]
* **École Polytechnique de Montréal Making Innovative Space Technology Lab** [[Homepage](https://github.com/MISTLab)]
### Asia* **Yonsei Computational Intelligence Laboratory** [[Homepage](https://github.com/yonsei-cilab)]
* **SNU RPM** [[Homepage](https://github.com/irapkaist)]
* **KAIST Urban Robotics Lab** [[Homepage](https://github.com/url-kaist)]
* **KAIST Cognitive Learning for Vision and Robotics CLVR lab** [[Homepage](https://github.com/clvrai)]
* **Japan National Institute of Advanced Industrial Science and Technology** [[Homepage](https://github.com/SMRT-AIST)]* **Japan Nagoya** [[Homepage](https://github.com/MapIV)]
* **CUHK OpenMMLab** [[Homepage](https://github.com/open-mmlab)]
* **HKUST Aerial Robotics Group** [[Homepage](https://github.com/HKUST-Aerial-Robotics)]
* **HKU Mars Lab** [[Homepage](https://github.com/hku-mars)]
* **City University of Hong Kong MetaSLAM** [[Homepage](https://github.com/MetaSLAM)]
* **HK PolyU Visual Learning and Reasoning Group** [[Homepage](https://github.com/vLAR-group)]
* **NTNU Autonomous Robots Lab** [[Homepage](https://github.com/ntnu-arl)]
* **Tsinghua IIIS MARS Lab** [[Homepage](https://github.com/Tsinghua-MARS-Lab)]
* **Tsinghua Institute for AI Industry Research** [[Homepage](https://github.com/AIR-THU)]
* **SJTU Vision and Intelligent System Group** [[Homepage](https://github.com/SJTU-ViSYS)]
* **SJTU Intelligent Robotics and Machine Vision Lab** [[Homepage](https://github.com/IRMVLab)]
* **ZJU Advanced-Perception-on-Robotics-and-Intelligent-Learning-Lab** [[Homepage](https://github.com/APRIL-ZJU)]
* **ZJU CAD CG** [[Homepage](https://github.com/zju3dv)]
* **ZJU Advanced Intelligent Machines AIM** [[Homepage](https://github.com/zju3dv)]
* **ZJU Robotics Lab** [[Homepage](https://github.com/aim-uofa)]
* **ZJU FAST Lab** [[Homepage](https://github.com/ZJU-FAST-Lab)]
* **Fudan Zhang Vision Group** [[Homepage](https://github.com/fudan-zvg)]
* **Tongji Intelligent Electric Vehicle Research Group** [[Homepage](https://github.com/tiev-tongji)]
* **Tongji Intelligent Sensing Perception and Computing Group** [[Homepage](https://github.com/ispc-lab/)]
* **NUDT NuBot** [[Homepage](https://github.com/nubot-nudt)]
* **HUST EIC Vision Lab** [[Homepage](https://github.com/hustvl)]
* **ShanghaiTech Vision and Intelligent Perception Lab** [[Homepage](https://github.com/svip-lab)]
* **HITSZ nROS-Lab** [[Homepage](https://github.com/HITSZ-NRSL)]
* **GAP-LAB-CUHK-SZ** [[Homepage](https://github.com/GAP-LAB-CUHK-SZ)]
* **Westlake University Audio Signal and Information Processing Lab** [[Homepage](https://github.com/Audio-WestlakeU)]
* **Wuhan University Urban Spatial Intelligence Research Group at LIESMARS** [[Homepage](https://github.com/WHU-USI3DV)]
* **Wuhan University Integrated and Intelligent Navigation Group** [[Homepage](https://github.com/i2Nav-WHU)]
* **WHU GREAT (GNSS+ Research, Application and Teaching) group** [[Homepage](https://github.com/GREAT-WHU)]
* **SYSU STAR Smart Aerial Robotics Group** [[Homepage](https://github.com/SYSU-STAR)]
* **SYSU RAPID Lab** [[Homepage](https://github.com/SYSU-RoboticsLab)]
* **SYSU Pengyu Team** [[Homepage](https://github.com/PengYu-Team)]
* **Israel Autonomous Navigation and Sensor Fusion Lab** [[Homepage](https://github.com/ansfl)]
* **NEU REAL** [[Homepage](https://github.com/NEU-REAL)]
## Journals
* **RA-L IEEE Robotics and Automation Letters** [[Registeration](https://ras.papercept.net/journals/ral/scripts/login.pl)]
* **TVT IEEE Transactions on Vehicular Technology** [[Registeration](https://mc.manuscriptcentral.com/tvt-ieee/)]
* **TRO IEEE Transactions on Robotics** [[Registeration](https://ras.papercept.net/journals/tro/scripts/login.pl)]
* **IJRR International Journal of Robotics Research** [[Registeration](https://mc.manuscriptcentral.com/ijrr)]
* **TITS IEEE Transactions on Intelligent Transportation Systems** [[Registeration](https://mc.manuscriptcentral.com/t-its)]
* **TIV IEEE Transactions on Intelligent Vehicles** [[Registeration](https://mc.manuscriptcentral.com/t-iv)]
* **Science Robotics** [[Registeration](https://www.science.org/journal/scirobotics)]
## Conferences
* **Mar. RSS Robotics: Science and Systems** [[Registeration](https://roboticsconference.org/)]
* **Nov. CVPR IEEE Conference on Computer Vision and Pattern Recognition** [[Registeration](https://cvpr.thecvf.com/)]* **Sept. ICRA IEEE International Conference on Robotics and Automation** [[Registeration](https://2024.ieee-icra.org/)]
* **Mar. IROS IEEE/RSJ lnternational Conference onlntelligent Robots and Systems** [[Registeration](https://ieee-iros.org/)]
* **Mar. ICCV International Conference on Computer Vision** [[Registeration](https://iccv2023.thecvf.com/)]
* **Mar. ECCV European Conference on Computer Vision** [[Registeration](https://www.ecva.net/index.php#conferences)]
* **Jan. SIGGRAPH Special Interest Group for Computer GRAPHICS** [[Registeration](https://s2023.siggraph.org/)]
* **Jul. CoRL Conference on Robot Learning** [[Registeration](https://www.corl2023.org/)]
* **Sept. ICLR International Conference on Learning Representations** [[Registeration](https://iclr.cc/)]
----
## Datasets
* **KAIST Urban** [[Homepage](https://sites.google.com/view/complex-urban-dataset/)]
* **NYU MARS** [[Homepage](https://ai4ce.github.io/MARS/)]
* **EuRoC** [[Homepage](https://github.com/topics/euroc-dataset/)]
* **MCD Dataset** [[Homepage](https://mcdviral.github.io/)]
* **Oxford Robotcar** [[Homepage](https://robotcar-dataset.robots.ox.ac.uk/)]
* **NCLT** [[Homepage](http://robots.engin.umich.edu/nclt/)]
* **Newer College** [[Homepage](https://ori-drs.github.io/newer-college-dataset/)]
* **Mulran** [[Homepage](https://sites.google.com/view/mulran-pr/dataset)]
* **KITTI** [[Homepage](https://www.cvlibs.net/datasets/kitti/)]
* **Argoverse** [[Homepage](https://www.argoverse.org/)]
* **Onpenlanev2** [[Homepage](https://github.com/OpenDriveLab/OpenLane-V2)]
* **M2DGR** [[Homepage](https://github.com/SJTU-ViSYS/M2DGR)]
* **SubT** [[Homepage](https://www.openrobotics.org/blog/2022/2/3/open-robotics-and-the-darpa-subterranean-challenge)]
* **R3LIVE** [[Homepage](https://github.com/ziv-lin/r3live_dataset)]
* **Rubble** [[Homepage](https://meganerf.cmusatyalab.org/)]find more in paperwithcode
## Competition
Practice makes perfect, though lack of innovation.
* **ICRA 2023 Robodepth** [[Link](https://robodepth.github.io/)]
* **ICRA 2024 RoboDrive** [[Link](https://robodrive-24.github.io/)]
* **ICRA 2023 Sim2Real** [[Link](https://air.tsinghua.edu.cn/robomaster/sim2real_icra23.html)]----
## ToolsLibs:
* **g2o** [[Link](https://github.com/RainerKuemmerle/g2o)]
* **ceres** [[Link](https://github.com/ceres-solver/ceres-solver)]
* **iSAM** [[Link](https://github.com/ori-drs/isam)]NeRF/3DGS:
* **COLMAP** [[Link](https://github.com/colmap/colmap/releases)]
* **LLFF** [[Link](https://github.com/Fyusion/LLFF)]Calibration:
* **Kalibr** [[CamCam/CamIMU/IMUIMU/Intrinsic](https://github.com/ethz-asl/kalibr)]
* **SensorsCalibration** [[LiDARCam/LiDARIMU/LiDARLiDAR/RadarCam/RadarLiDAR/CamCam/Intrinsic](https://github.com/PJLab-ADG/SensorsCalibration)]
* **livox_camera_calib** [[LiDARCam](https://github.com/hku-mars/livox_camera_calib)]
* **direct_visual_lidar_calibration** [[LiDARCam](https://github.com/koide3/direct_visual_lidar_calibration)]
* **Calibration-Is-All-You-Need** [[LiDARCam/LiDARIMU/CamIMU/CamCam](https://github.com/linClubs/Calibration-Is-All-You-Need)]Evaluation:
* **EVO** [[EVO](https://github.com/MichaelGrupp/evo)]
* **CloudMapEvaluation** [[CloudMapEvaluation](https://github.com/JokerJohn/Cloud_Map_Evaluation)]
* **SLAMHIVE** [[SLAMHIVE](https://github.com/STAR-Center/SLAM-Hive)]Communication:
Message Queuing Telemetry Transport
Hypertext Transfer Protocol Secure
Controller Area Network
----
## Sim (experienced software, not toys from paper)
* **AAI** [[Sim now](https://www.automotive-ai.com/)]
* **Airsim** [[Sim now](https://github.com/microsoft/AirSim)]
* **aiSim** [[Sim now](https://aimotive.com/aisim)]
* **Apollo** [[Sim now](https://github.com/ApolloAuto/apollo)]
* **CARLA** [[Sim now](https://github.com/carla-simulator/carla)]
* **CarMaker** [[Sim now](https://www.ipg-automotive.com/en/products-solutions/software/carmaker/)]
* **CarSim** [[Sim now](https://www.carsim.com/products/carsim/index.php)]
* **Cognata** [[Sim now](https://www.cognata.com/)]
* **ESI Pro-Sivic** [[Sim now](https://myesi.esi-group.com/downloads/software-downloads/pro-sivic-2021.0)]
* **Metamoto** [[Sim now](https://velodynelidar.com/automated-with-velodyne/metamoto/)]
* **NVDIA Drive Sim** [[Sim now](https://developer.nvidia.com/drive/simulation)]
* **NVDIA Isaac Sim** [[Sim now](https://developer.nvidia.cn/isaac/sim)]
* **OnSite** [[Sim now](https://www.onsite.com.cn/#/dist/home)]
* **PanoSim** [[Sim now](https://www.panosim.com/)]
* **ParallelDomain** [[Sim now](https://paralleldomain.com/)]
* **Pilot-D GaiA** [[Sim now](http://www.pd-automotive.com/pc/#/)]
* **PreScan** [[Sim now](https://plm.sw.siemens.com/en-US/simcenter/autonomous-vehicle-solutions/prescan/)]
* **rFpro** [[Sim now](https://ww2.mathworks.cn/products/connections/product_detail/rfpro.html)]
* **RightHook** [[Sim now](https://github.com/righthook)]
* **RoadRunner** [[Sim now](https://ww2.mathworks.cn/products/roadrunner.html)]
* **SCANeR** [[Sim now](https://www.avsimulation.com/scaner/)]
* **SILAB** [[Sim now](https://wivw.de/en/silab)]
* **TruckMaker** [[Sim now](https://www.ipg-automotive.com/en/products-solutions/software/truckmaker/)]
* **Vires VTD** [[Sim now](https://hexagon.com/products/virtual-test-drive?utm_easyredir=vires.mscsoftware.com)]
* **VI Worldsim** [[Sim now](https://www.vi-grade.com/en/products/vi-worldsim/)]
* **ZJL-VTS** [[Sim now](https://www.onsite.com.cn/#/dist/endToEndTestTool)]
* **51Sim-one** [[Sim now](https://www.51sim.com/products/simone)]
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## BuySensorsMulti-sensors:RGB, RGBD, Infrared, Polarization, Event-based(Future), Motion, Capture(GT), 2D Spinning LiDAR, 3D Spinning LiDAR, 3D Solid-State LiDAR, 4D High Resolution Radar(Future), mmWave Radar, UWB, RTK(GT), Wheel Odom, IMU, Ultrasonic Sensor.
----## FindIntern
For bridging college and society, mainly base in Shanghai, Beijing, Hangzhou, Suzhou, Canton, Shenzhen, HongKong
Shanghai: AI Lab, DiDi, Horizon, Li, BOSCH
Beijing: Xiaomi, Baidu, Pony.ai,
Hangzhou: Unitree, Damo,
Suzhou: Momenta,
Canton: WeRide, Xiaopeng
BTW, RA/TA Opportunities:
CMU
CityU
ETH-RSS
----## WeMedia
Follow [[XueLingFeiHua](https://www.zhihu.com/people/maxhnnl/answers)] for general understanding of sensors used by autonomous vehicle, I will do supplement when I have time.
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## WhySDMapFor autonomous driving vechile and outdoor robotics, use more light-weight map instead of no map
Follow [[TUMFTM](https://github.com/TUMFTM)] for more information on HDMap & SDMap aid localization, I will do supplement when I have time.
Follow [[Tong Qin](https://github.com/qintonguav)] for more information on SDMap aid localization, I will do supplement when I have time.----
## WhyTraversabilityFor all terrain navigation, because We're tired of filtering ground points...
Follow [[Ji Zhang](https://github.com/jizhang-cmu)] for more information on multi-session mapping, I will do supplement when I have time.----
## WhyLongTermFor multi-session mapping and updating (change detection), dynamic objects filter.
Follow [[Xiang Gao](https://github.com/gaoxiang12)] for more information on SLAM, I will do supplement when I have time.
Follow [[Tong Qin](https://github.com/qintonguav)] for more information on V-SLAM, I will do supplement when I have time.
Follow [[Zhijian Qiao](https://github.com/qiaozhijian)] for more information on multi-session mapping, I will do supplement when I have time.
Follow [[Gisbi Kim](https://github.com/gisbi-kim/lt-mapper)] for more information on map maintaining, I will do supplement when I have time.
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