Overview
Explore the fascinating world of autonomous vehicles in this 50-minute conference talk by Tim van Eijndhoven, a Software Craftsman at JPoint. Dive into the process of building a self-driving RC car, covering essential topics such as hardware components, safety measures, image processing, and lane detection. Learn about the PiCam web interface, cockpit UI, and the implementation of OpenCV for computer vision. Discover the architecture behind autonomous vehicles, including different levels of self-driving capabilities and LiDAR systems. Examine the challenges and limitations faced in the development of self-driving cars, discussing moral implications, legislation, and potential improvements. Gain insights into the future of autonomous transportation and participate in a Q&A session to further explore this cutting-edge technology.
Syllabus
Introduction
Rules
Hardware
FernX
Servo Blaster
Safety Measures
Camera
PICam Web Interface
Cockpit UI
OpenCV
Image Processing
Image Lane Detection
Architecture
Daisy
First test
Levels of selfdriving
LiDAR systems
Optics Ride Route
Selfdriving Honda
Limitations
No good solution
Moral Machine
Legislation
Improvements
Questions
Taught by
Devoxx