Development of Autonomous Driving and ADAS using MATLAB/Simulink

We will systematically and in detail explain the increasingly complex technology areas of autonomous driving and ADAS.

In the development of autonomous driving and ADAS (Advanced Driver Assistance Systems), there are many technologies that need to be considered and developed across a wide range of areas related to "perception, decision-making, and operation." This white paper systematically and thoroughly explains the increasingly complex technological domains of autonomous driving and ADAS. Furthermore, it highlights the following seven important applications and functions in autonomous driving development, introducing features and solutions using MATLAB/Simulink for each: - Image processing and deep learning - LiDAR signal processing - Sensor fusion - Advanced driving control (model predictive control, reinforcement learning) - Generation of driving scenarios for various algorithm verification - External collaboration (Unreal integration, ROS integration) - Code generation

Software (middle, driver, security, etc.)