Sensors Technology in Autonomous Vehicles and Automated Driving Status, Perspectives and Societal Impact
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".
Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 7620
Special Issue Editors
Interests: information security of self-driving vehicles
Special Issues, Collections and Topics in MDPI journals
Interests: neuro-fuzzy technologies; fuzzy logic approaches; adaptive fuzzy
Special Issues, Collections and Topics in MDPI journals
Interests: image processing; optimal control; robust control; advanced vehicle safety assistant systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Self-driving vehicles are expected to significantly reduce the number of fatal accidents caused by human error by enabling faster decision-making by a central unit that processes signals from built-in sensors. Level 4 self-driving vehicles are already on the road, capable of handling a large proportion of traffic situations and making driving more comfortable. Researchers are slowly focusing on the implementation of Level 5 full self-driving, which can now get passengers to their destination without human intervention, overcoming all traffic obstacles. As well as reducing the number of accidents, self-driving can be a convenience and, in some cases, a life-saving feature, allowing sick people to get to hospital faster without having to wait for an ambulance. Successful implementation will require not only good decision-making after proper processing of the data from sensors, but also social acceptance, as self-driving vehicles will have a significant impact on today's transport. Particular attention should be paid to the transition period, when more and more self-driving vehicles will appear on the roads alongside conventional vehicles. It is important to study the reaction and behaviour of drivers and pedestrians in this environment. This special issue of the journal focuses on these areas.
Potential topics include but are not limited to:
- Processing sensor data from self-driving vehicles
- Central unit decision-making
- Societal issues in the field of self-driving vehicles
- Perspectives in the field of self-driving
- Possible sensors in future self-driving vehicles
Dr. Gábor Kiss
Prof. Dr. Valentina E. Balas
Prof. Dr. Yu-Chen Lin
Guest Editors
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