On-Board and Remote Sensors in Intelligent Vehicles-2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 427
Special Issue Editors
Interests: systems engineering; robots; human–robot collaboration; Industry 4.0; position and force robot control; artificial intelligence; advanced robotics; industrial applications; safety systems
Special Issues, Collections and Topics in MDPI journals
Interests: service robotics; trajectory planning; robotic vehicles
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nowadays, there are more than one billion motor vehicles (cars, trucks and buses) in the world, and if the rate of growth continues (the number doubles every 20 years), there could be more than 3 billion vehicles in 2040. Because of this, in recent years, the field of intelligent vehicles has emerged as an important topic for both research and industry. These vehicles can be understood as those that use technologies such as electronics, computers, communication and automatic control to bring about social, environmental and economic benefits.
(a) the position and kinematic and dynamic state of the vehicle, (b) the state of the environment surrounding the vehicle, (c) the state of the driver and occupants, (d) communication with roadside infrastructure or other vehicles, and (e) access to digital maps and satellite data.
The aim of this Special Issue is to obtain a perspective on the use of on-board and remote sensors in the intelligent vehicle field to give readers a clear picture on the advances that are to be expected. Welcomed topics include, but are not strictly limited to, the following:
Global–local vehicle positioning:
- Vehicle location;
- Navigation systems;
- Obstacle detection.
Road scene understanding:
- Precise geometry of the lane/road;
- Road signal and traffic light detection;
- Road weather conditions and visibility;
- Road pavement conditions: detection of bumps and breaks in pavements;
- Traffic conditions and presence of other vehicles and/or vulnerable road users.
Driver assistance:
- Collision avoidance (backup, rear-end, pedestrian, lane-changing collisions);
- Parking assistance;
- Keeping in lane/lane changing;
- Emergency assistance.
Driver monitoring:
- Driver fatigue, distraction, inattention;
- Abnormal driving detection and/or impaired driving;
- Driver and passenger active safety systems;
- Passenger evaluation for emergency assistance.
Prof. Dr. Angel Valera
Prof. Dr. Francisco Valero
Guest Editors
Manuscript Submission Information
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Related Special Issue
- On-Board and Remote Sensors in Intelligent Vehicles in Sensors (13 articles)
