Sensor-Based Control and Navigation for Autonomous Vehicles
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 25 November 2025 | Viewed by 598
Special Issue Editor
Interests: connected and autonomous vehicles (CAVs); intelligent transportation systems; smart mobility; smart cities; vehicle dynamics controllers; electronic stability control; adaptive cruise control; cooperative adaptive cruise control; collision warning and avoidance systems; cooperative collision avoidance systems
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Special Issue Information
Dear Colleagues,
Tremendous progress has been made in autonomous driving in recent years, with significant research results and public road deployments including the implementation of series-production vehicles and ride-hailing services offering affordable autonomous rides. However, these advancements have also been accompanied by many safety challenges regarding autonomous vehicles not being able to respond appropriately to rare and unexpected situations and not being able to navigate safely around potential collision risks in such cases. More research is thus needed on enhanced situational awareness using perception sensors and control and navigation algorithms for safe maneuvering in the presence of unexpected vehicles and vulnerable road users, in addition to establishing safe methods of evaluating and developing such perception-based situational awareness and navigation algorithms.
This Special Issue aims to gather research on the use of sensors like camera, lidar, and radar for perception and their use for detecting rare and extreme interactions between autonomous vehicles and other road users; control and navigation methods to safely maneuver the autonomous vehicle (AV) during such rare and extreme interactions; realistic and efficient methods of evaluation; and the development of such algorithms in safe environments before public road deployment. We welcome your contributions to this Special Issue on topics including but not limited to the following keywords.
Prof. Dr. Bilin Aksun Guvenc
Guest Editor
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Keywords
- perception sensors and algorithms for rare and extreme events
- vision-based control and navigation for autonomous driving
- sensor fusion including learning methods for autonomous vehicle control and navigation
- sensor-based vulnerable road user safety of autonomous driving
- perception sensor modeling for autonomous driving simulation
- realistic perception sensors models for AV simulation/operation in virtual/augmented/mixed/extended reality environments
- safe, efficient, and realistic AV development and evaluation methods and environments
- other related topics
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