TmacTmac1992

plandex

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

FoundationPose

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

Awesome-LLM4AD

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

LMDrive

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

segment-lidar

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

Traj-LO

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

PlanKD

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

SparseOcc

Fully Sparse 3D Occupancy Prediction & RayIoU Evaluation Metric

navsim

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation

FusionAD

Official Code Release of "FusionAD"

neuro-ncap

NeuroNCAP benchmark for end-to-end autonomous driving

LiDAR4D

💫 [CVPR 2024] LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis

maptracker

Code for paper "MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping"

DTPP

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

MGMap

[CVPR2024] The code for "MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction"

LiDAR-PTQ

ICLR2024: LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection.

LightwheelOcc

LightwheelOcc: A 3D Occupancy Synthetic Dataset in Autonomous Driving

GR-1

Code for "Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation"

MapUncertaintyPrediction

[CVPR 2024 Oral] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction

FastPoly

Official Repo For "Fast-Poly"

GraphAD

PillarNet

[ECCV 2022] PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection

VRSO

lego-drive

A goal-oriented planning to lift VLN performance for Closed-Loop Navigation: Simple, Yet Effective

Scale-BEV

TrackTacular

Official Code for "Lifting Multi-View Detection and Tracking to the Bird’s Eye View"

CSC

This is official implementation of our CVPR 2024 paper "Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception" https://arxiv.org/abs/2405.07201

DriveWorld

(CVPR2024) DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving

CurbNet

Curb Detection Framework Based on LiDAR Point Cloud Segmentation

K-Radar_auto-labeling