Abstract
In conditional automation (level 3), human drivers can hand over the Driving Dynamic Task (DDT) to the Automated Driving System (ADS) and only be ready to resume control in emergency situations, allowing them to be engaged in non-driving related tasks (NDRT) whilst the vehicle operates within its Operational Design Domain (ODD). Outside the ODD, a safe transition process from the ADS engaged mode to manual driving should be initiated by the system through the issue of an appropriate Take Over Request (TOR). In this case, the driver’s state plays a fundamental role, as a low attention level might increase driver reaction time to take over control of the vehicle. This paper summarizes and analyzes previously published works in the field of conditional automation and the TOR process. It introduces the topic in the appropriate context describing as well a variety of concerns that are associated with the TOR. It also provides theoretical foundations on implemented designs, and report on concrete examples that are targeted towards designers and the general public. Moreover, it compiles guidelines and standards related to automation in driving and highlights the research gaps that need to be addressed in future research, discussing also approaches and limitations and providing conclusions.
Original language | English |
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Article number | 2087 |
Number of pages | 36 |
Journal | Electronics |
Volume | 9 |
Issue number | 12 |
DOIs | |
Publication status | Published - Dec 2020 |
Fields of science
- 303 Health Sciences
- 303008 Ergonomics
- 201306 Traffic telematics
- 202031 Network engineering
- 202036 Sensor systems
- 202038 Telecommunications
- 202040 Transmission technology
- 203 Mechanical Engineering
- 211908 Energy research
- 211911 Sustainable technologies
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102002 Augmented reality
- 102003 Image processing
- 102013 Human-computer interaction
- 102015 Information systems
- 102019 Machine learning
- 102021 Pervasive computing
- 102024 Usability research
- 102026 Virtual reality
- 102029 Practical computer science
- 102034 Cyber-physical systems
- 501026 Psychology of perception
- 501 Psychology
- 501025 Traffic psychology
- 201305 Traffic engineering
- 202 Electrical Engineering, Electronics, Information Engineering
- 202003 Automation
- 202030 Communication engineering
- 202034 Control engineering
- 202035 Robotics
- 202037 Signal processing
- 202041 Computer engineering
- 203004 Automotive technology
- 211902 Assistive technologies
- 211909 Energy technology
- 211917 Technology assessment
- 501030 Cognitive science
JKU Focus areas
- Digital Transformation
- Sustainable Development: Responsible Technologies and Management