Autonomous Driving System
Technology that enables a vehicle to navigate and operate without human input.
An autonomous driving system integrates sensors, cameras, radar, and artificial intelligence to control vehicle motion automatically. It perceives surroundings, plans routes, and makes real-time driving decisions. Levels of autonomy range from driver assistance to full automation as defined by SAE standards. Advanced control algorithms combine perception, prediction, and planning modules. Safety redundancy, continuous learning, and regulatory validation are essential. The goal is to increase safety, reduce congestion, and enable mobility for all.
Related Diagnostic Guide
This topic is part of CHEPQ’s system-level diagnostic framework.
For a broader understanding of how this component is analyzed in real-world diagnostics, refer to the following guide:
Applying This Knowledge in Practice
The diagnostic principles discussed above are commonly applied in real-world vehicle diagnostics. To put this knowledge into practice, explore professional automotive diagnostic tools designed to support system testing, fault analysis, and troubleshooting across modern vehicles.