Download to read offline
![Advanced Driver Assistance
Systems (ADAS)
• Enhancing Vehicle Safety and Driving Comfort
• Presented by: [Your Name]](https://image.slidesharecdn.com/adaspresentation1-250418125730-89d8b3a6/75/ADAS-advance-driver-assistance-system-for-public-1-2048.jpg)
ADAS(advance driver assistance system for public)
- 1. Advanced Driver Assistance Systems(ADAS) • Enhancing Vehicle Safety and Driving Comfort • Presented by: [Your Name]
- 2. Introduction • ADAS aresystems designed to automate, adapt, and enhance vehicle systems for safety and better driving experience.
- 3. Objectives of ADAS •• Improve driver safety • • Reduce traffic accidents • • Assist with vehicle control
- 4. Evolution of ADAS •From basic alerts (seatbelts, ABS) to proactive control (adaptive cruise, automatic braking), ADAS has evolved significantly.
- 5. Key Components ofADAS • • Sensors (Radar, Cameras, LiDAR) • • ECUs (Electronic Control Units) • • Actuators • • Software Algorithms
- 6. Types of SensorsUsed • • Radar: Detects distance and speed • • LiDAR: 3D mapping • • Ultrasonic: Short range detection • • Cameras: Object and lane detection
- 7. Important ADAS Features •• Adaptive Cruise Control • • Lane Keep Assist • • Automatic Emergency Braking • • Blind Spot Detection
- 8. Adaptive Cruise Control(ACC) • Maintains set speed and adjusts based on traffic using radar and cameras.
- 9. Lane Departure Warning& Lane Keep Assist • Warns or assists if vehicle drifts from its lane, enhancing safety on highways.
- 10. Automatic Emergency Braking (AEB) •Detects obstacles ahead and applies brakes to avoid or reduce collision impact.
- 11. Blind Spot Detection& Rear Cross Traffic Alert • Warns of vehicles in blind spots and approaching traffic when reversing.
- 12. Driver Monitoring System •Monitors eye movement to detect drowsiness or distraction, alerts the driver, and may take action.
- 13. Parking Assistance • •Rear view and 360-degree cameras • • Automated parking systems
- 14. Night Vision &Traffic Sign Recognition • • Detects objects in low visibility • • Reads and displays road signs
- 15. Levels of DrivingAutomation (SAE) • • Level 0: No automation • • Level 1–2: Partial assistance • • Level 3–5: High to full automation
- 16. Challenges in ADAS •• Sensor reliability in bad weather • • High cost • • Data privacy & cybersecurity issues
- 17. Role of AIand Machine Learning • • Object recognition • • Decision-making • • Continuous learning from data
- 18. Future Trends inADAS • • Integration with 5G & V2X • • Personalized experiences • • Progressing towards full autonomy
- 19. Real-World Applications • •Tesla Autopilot • • Mercedes-Benz Drive Pilot • • Waymo & Cruise autonomous vehicles
- 20. Conclusion • ADAS improvesafety and convenience and pave the way for fully autonomous vehicles.