MaxLeo-LMZ
Follow
Stars
Livox-Mid-360 Used in UAV based faster-lio. Add localization mode in built maps.
[ICRA 2024] RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision. (Early version: UniOcc)
Awesome papers about Multi-Camera Semantic Occupancy Prediction, such as TPVFormer, OccFormer, Occ3D, OpenOccupancy
[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"
《大模型白盒子构建指南》：一个全手搓的Tiny-Universe
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。
Repo for the Deep Reinforcement Learning Nanodegree program
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
We use hybrid a star and optimization-based method for trajectory planning of the autonomous vehicle parking
Pure Pursuit Control and SE(2) Planning
Pytorch implementation of convolutional neural network visualization techniques
本Fork代码仓库作为本人记录学习BEVFusion的学习笔记使用，会逐步理解代码并添加大量中文注释。 本仓库代码已参照《bevfusion单显卡训练/测试》做了单GPU训练和测试的修改。 并在本人主机上做过了测试。
This is a Chinese translation of the CUDA programming guide
The C++ code demo for surround view of car
AutomanTools is an open-source software for self-driving AI.
AutowareArchitectureProposal is meta repository of this repository.
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…
Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.