Sensing Techniques and Algorithms for Assessing Human-Vehicle Interactions
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: closed (31 March 2020) | Viewed by 160
Special Issue Editor
Interests: multisensor system; Internet of Things; metrology; sensor technology; non-invasive measurements; measurement data; taxonomy; engineering methodology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The propose Special Issue (SI) may covers following field of applications/problems:
- Applied sensors and sensing techniques: passive, active, vision, Radar, Lidar; driving environment-focused studies and systems; track surrounding vehicles and pedestrians to enhance the driver’s attentiveness and to avoid any possible collisions; provide information about vehicle environment
- Situational (driving) Awareness – Due to extended sensors capabilities (in addition to human eyes/senses), improves driver’s/user’s awareness about the situation. The adequate information about the driving environment is provided (ad hoc) to the driver or vehicle user. Then, based on provided information, user is able to make the appropriate (well judged?) decision. It leads to reduction of risk of confusing the driver’s cognition.
- Decision making support and prediction - to warn driver about dangerous situations;
- User’s/Driver’s behaviour recognition and classification/identification – distraction, fatigue;
- Driving Style assessment
- Automotive systems infrastructure/connectivity?
Prof. Dr. Wlodek Kulesza
Guest Editor
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Keywords
- Artificial Intelligence technologies,
- Behaviour classification/identification,
- Classification algorithms,
- Drivers Assistance System,
- Driving Monitoring,
- Driving Style Assessment,
- Human Machine Interfaces for vehicles,
- Internet of Things,
- Multi Sensor Systems,
- Predictive analytics,
- Sensors Fusion,
- Situational Awareness.
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