Autonomous Driving Project Roadmap

[daohu527]

Welcome to our autonomous driving project! Our goal is to develop and deploy an efficient and reliable autonomous driving solution. Below is our Roadmap to help you understand the development and release plans for the project.

Version Release Plan

Core Version (Expected Release: 12.31)

Objective: Implement the basic functionality of the middleware, drivers, and chassis for autonomous driving.

Key Features

• Middleware

  • Design and implement messaging interfaces
  • Develop sensor driver modules
  • Provide vehicle chassis control interfaces

• Tools

  • Configuration Management: Develop and integrate tools to support flexible project deployment and management
  • CViz (Visualization Tool): Enable real-time monitoring and visualization of core system states

Key Milestones

• Initial version of middleware completed
• Integration of sensor drivers with vehicle chassis
• Testing and validation of core functions

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Version 1.0 (Expected Release: 2.28)

Objective: Complete the closed-loop functionality of autonomous driving, including localization, perception, prediction, planning, and control modules.

Key Features

• Algorithms

  • Localization: Implement high-precision vehicle localization
  • Perception: Develop environmental perception modules, including obstacle recognition
  • Prediction: Design and implement trajectory prediction algorithms
  • Planning and Control: Implement path planning and vehicle dynamic control

• Tools

  • Sensor Calibration: Develop sensor calibration tools
  • Dynamics Calibration and Chassis Debugging: Implement and optimize dynamics parameter calibration and chassis debugging
  • CARLA Integration: Achieve integration with the CARLA simulator for virtual simulation and testing

Key Milestones

• Integration of localization, perception, prediction, planning, and control modules
• Completion of sensor and dynamics calibration
• Seamless integration with the CARLA simulator
• Successful closed-loop testing for autonomous driving