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(3DV 2021) A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving Applications
Proximal Policy Optimization (PPO) algorithm using PyTorch to train an agent for a rocket landing task in a custom environment
A Library for Differentiable Logic Gate Networks
Official Devkit for the KITTI Depth Prediction/Completion Benchmark 2017
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
RGBD-3DGS-SLAM is a monocular SLAM system leveraging 3D Gaussian Splatting (3DGS) for accurate point cloud and visual odometry estimation. By integrating neural networks, it estimates depth and cam…
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
A PyTorch native platform for training generative AI models
Model Predictive Path Integral Control (MPPI) with PyTorch
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Accompaning repository for the 2022 ICRA paper "Lightweight Monocular Depth Estimation through Guided Decoding"
This paper introduces a forest dataset called FinnWoodlands, which consists of RGB stereo images, point clouds, and sparse depth maps, as well as ground truth manual annotations for semantic, inst…
COLMAP - Structure-from-Motion and Multi-View Stereo
Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud
About Python scripts form performing stereo depth estimation using the ACVNet model in ONNX.
Hybrid A* Motion Planner for a Car using kinematic & Reeds-Shepp Model