Automated Driving System

How transition control method can

improve the performance of driving

task and visual attention, namely,

improving road safety.

Revised Mind Map

Case Study Discussion

• "I think we are very close to L5 autonomous driving," Tesla CEO Elon Musk said in a video released at the Shanghai World Ai Conference in August. "I am confident that we will complete the basic functions of L5 autonomous driving this year."

• The L5 self-driving car requires that all driving can be done under any circumstances, and that no one in the car needs to drive.

• Autonomous driving technology currently on the

market, including Tesla, is L2, or partially automated.

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Summary of Controls

• Autosteer (Beta) • Navigate on Autopilot (Beta) • Customize Navigate on Autopilot • Traffic Light and Stop Sign Control (Beta) • Summon (Beta) • Customize Summon • Full Self-Driving Visualization Preview: • Speed Limit Warning • Speed Limit • Offset • Forward Collision Warning • Lane Departure Avoidance • Emergency Lane Departure Avoidance (if equipped) • Blind Spot Collision Warning Chime • Automatic Emergency Braking • Obstacle-Aware Acceleration

• Autopilot

• 1. A camera is mounted above the rear license plate.

• 2. Ultrasonic sensors are located in the front and rear bumpers.

• 3. A camera is mounted in each door pillar.

• 4. Three cameras are mounted to the windshield above the rear view mirror.

• 5. A camera is mounted to each front fender.

• 6. Radar is mounted behind the front bumper.

Classification of Disengagement

Main causes of PDEs and ADEs.

Relations between reported disengagements and automation levels.

Research Summary

According to the analysis, the main cause of passive disengagement and active disengagement is software problems. With the improvement of vehicle automation, the function, performance and robustness of software need to be improved urgently. The goal of original equipment manufacturers should be to design highly automated vehicle systems that do not pose unreasonable security risks. At the same time, as suggested by NHTSA, original equipment manufacturers should pay attention to the evolution, implementation and safety assessment of artificial intelligence, machine learning and other related software technologies and algorithms, so as to improve the effectiveness and safety of highly automated vehicles.

In addition, it is important to understand the interaction between man and machine. In L2 and L3 systems, where a driver‘s ability to take over may be affected by multiple subjective and objective factors, original equipment manufacturers should consider how to incorporate monitoring of driver attention, intention, and task engagement into the software system. In addition, how highly automated vehicles will signal to the surrounding environment and traffic participants should also be considered by the original equipment manufacturers.

Bibliography

• SAE International, “Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles” 15 Jun., 2018. https://saemobilus.sae.org/content/j3016_201806(Accessed: 19 Oct. 2020)

• Tesla Motors Inc, "Reporting Disengagement ofAutonomous Mode", 1 Jan., 2016.

https://www.dmv.ca.gov/portal/wcm/connect/d4114e78-4c45-4328-a6b9-

428e400bf067/tesla_disengagement_report.pdf?MOD=AJPERES(Accessed: 21 Sep. 2016)

• Tesla Motors Inc, "Tesla Model S - Owner's Manual". https://carmanuals2.com/tesla/model-s-2016-owner-s-manual-89478(Accessed: 21 Sep. 2016)

• Delphi Automotive Systems, LLC, “Summary of autonomous vehicle disengagements,” [Online]. Available: https://www.dmv. ca.gov/portal/wcm/connect/ 851838fb-da8b-45da-bd95-0ae0451de988/ 2015 Delphi DMV Summary.pdf?MOD=AJPERES. Accessed on: Sep. 21, 2016.

• Nissan North America, Inc., “Nissan autonomous vehicle disengagement report 2015,” [Online]. Available: https:// www.dmv.ca. gov/portal/wcm/connect/0170b0e7-7992-45f6-918d-8d3cc5bce9ee/ nissan disengagement report.pdf?MOD=AJPERES.Accessed on: Dec. 23, 2015.