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Sensors in Intelligent Vehicle Dynamics and Control
Special Issue Information
Dear Colleagues,
Intelligent vehicle dynamics and control rely heavily on advanced sensor technologies to enhance safety, efficiency, and autonomous driving capabilities. Sensors play a crucial role in monitoring vehicle states, environmental conditions, and driver inputs, enabling real-time decision-making for stability control, traction management, and collision avoidance. Key sensors such as inertial measurement units (IMUs), wheel speed sensors, LiDAR, radar, and vision-based systems provide critical data on vehicle motion, road conditions, and surrounding obstacles. By integrating these sensors with advanced control algorithms, modern vehicles can adapt to dynamic driving scenarios, optimize performance, and ensure passenger comfort. Furthermore, the fusion of multi-sensor data improves system reliability and robustness, supporting the development of autonomous driving systems. This field continues to evolve with advancements in sensor accuracy, miniaturization, and AI-driven processing, paving the way for next-generation intelligent transportation systems.
Dr. Bo Li
Prof. Dr. Shaoyi Bei
Dr. Fen Lin
Dr. Haichao Zhou
Prof. Dr. Nan Xu
Prof. Dr. Xiaolong Zhang
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- vehicle dynamics
- sensor fusion
- inertial measurement unit (IMU)
- LiDAR and radar
- autonomous driving
- stability control
- real-time monitoring
- intelligent transportation systems
- environmental perception
- adaptive control algorithms
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