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An open autonomous driving platform
A selection of state-of-the-art research materials on trajectory prediction
Bezier Trajectory Generation for Autonomous Quadrotor, ICRA 2018
A ROS wrapper for implementing convex decomposition
A lightweight differential flatness-based trajectory planner for car-like robots
A Robust and Efficient Trajectory Planner for Quadrotors
Fast-Planner个人注释版
3D Trajectory Planner in Unknown Environments
The human_aware_navigation repository includes ROS packages to enable the planning of navigation paths that take human comfort into account
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Search-based motion planning for differential flat systems
Nonlinear Model Predictive Control on Differential Wheeled Mobile Robot using ROS
A ROS wrapper for trajectory planning based on motion primitives
Optimization-based real-time path planning for vehicles.
Hybrid A* Path Planner for the KTH Research Concept Vehicle
行人行为轨迹预测
Perception of Autonomous mobile robot,Using ROS,rs-lidar-16,By SLAM,Object Detection with Yolov5 Based DNN
(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving
Sampling based rewiring approaches to solve motion planning problems for a robot with dynamic obstacles
**大学MOOC《机器人操作系统入门》课程代码示例
http://www.ros.org/wiki/slam_gmapping
An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)
A Pytorch Implementation of TNT: Target-driveN Trajectory Prediction
This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.