TmacTmac1992

TmacTmac1992's Stars

• plandex-ai/plandex

  AI driven development in your terminal. Designed for large, real-world tasks.

  Language:Go9.7k7989692

• huggingface/lerobot

  🤗 LeRobot: End-to-end Learning for Real-World Robotics in Pytorch

  Language:Python3.6k4143262

• NVlabs/FoundationPose

  [CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

  Language:Python1k34146120

• Thinklab-SJTU/Awesome-LLM4AD

  A curated list of awesome LLM for Autonomous Driving resources (continually updated)

  68132536

• IDEA-Research/Grounding-DINO-1.5-API

  API for Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series

  Language:Python48816

• opendilab/LMDrive

  [CVPR 2024] LMDrive: Closed-Loop End-to-End Driving with Large Language Models

  Language:Jupyter Notebook488165548

• ethz-asl/dynablox

  Real-time detection of diverse dynamic objects in complex environments.

  Language:C++394142149

• Yarroudh/segment-lidar

  Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.

  Language:Python308111734

• georghess/neurad-studio

  [CVPR2024] NeuRAD: Neural Rendering for Autonomous Driving

  Language:Python264342818

• kevin2431/Traj-LO

  [RA-L 2024] In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory

  Language:C1982239

• rvp-group/mad-icp

  Minimal, robust, accurate and real-time LiDAR odometry

  Language:C++1282003

• NVlabs/OmniDrive

  1161322

• tulerfeng/PlanKD

  [CVPR 2024] On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving

  Language:Python106113

• vita-epfl/UniTraj

  A Unified Framework for scalable Vehicle Trajectory Prediction

  Language:Python975613

• atonderski/neuro-ncap

  NeuroNCAP benchmark for end-to-end autonomous driving

  94921

• westlake-autolab/FusionAD

  Official Code Release of "FusionAD"

  881243

• jchengai/pluto

  PLUTO: Push the Limit of Imitation Learning-based Planning for Autonomous Driving

  Language:Python793

• MCZhi/DTPP

  [ICRA 2024] Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning

  Language:Python766410

• NVlabs/SMERF

  Language:Python71101013

• ethan-li-coding/FasterStereoCuda

  这是一个基于CUDA加速的SGM立体匹配代码，它的核心是SemiglobalMatching（SGM）算法，它不仅在时间效率上要远远优于基于CPU的常规SGM，而且明显占用更少的内存，这意味着它不仅可以在较低分辨率（百万级）图像上达到实时的帧率，且完全具备处理千万级甚至更高量级图像的能力。

  Language:C++3613

• carlinds/unisim

  Language:Python222

• youquanl/M3Net

  Multi-Space Alignments Towards Universal LiDAR Segmentation

  18301

• EnVision-Research/Scale-BEV

  16

• AutonomousVehicleLaboratory/SemVecNet

  Language:Python110

• PJLab-ADG/VeloVox

  [ICRA 2024] VeloVox: A Low-Cost and Accurate 4D Object Detector with Single-Frame Point Cloud of Livox LiDAR

  1170

• lynn-yu/DTCLMapper

  9

• Zhanwei-Z/G2LTraj

  code for G2LTraj

  Language:Python8100

• guoyangzhao/CurbNet

  Curb Detection Framework Based on LiDAR Point Cloud Segmentation

  5201

• kaist-avelab/K-Radar_auto-labeling

  Language:Python30

• seu-zwd/VoxelFSD

  Language:Python3