Development and Application of Computer Vision and Perception in Vehicles

Dear Colleagues,

The rapid evolution of computer vision and perception systems is revolutionizing the automotive industry, driving innovations in autonomous vehicles, advanced driver assistance systems (ADASs), and connected mobility solutions. As vehicles operate in increasingly dynamic and complex environments, robust vision systems are essential for enhancing safety, optimizing energy efficiency, and advancing sustainable transportation. This Special Issue aims to showcase the latest research and practical solutions addressing these challenges, pushing the boundaries of what is possible in vehicle vision and perception technologies.

This Special Issue aims to bring together cutting-edge research and practical innovations that address critical challenges in the development and deployment of vision and perception systems for vehicles. By bridging foundational algorithms with emerging technologies and real-world applications, this Special Issue seeks to shape the future of intelligent, sustainable, and secure transportation systems. Contributions that align with the journal’s interdisciplinary scope, particularly those combining technical rigor with practical insights, are highly encouraged.

The goal is to collect at least 20 high-quality original research articles and reviews that contribute significantly to advancing this interdisciplinary field. In this Special Issue, original research articles and comprehensive reviews are welcome. Research areas may include, but are not limited to, the following themes:

• Foundation Models and Algorithms
  • Core Algorithms for Object Detection, Segmentation, SLAM, and Depth Estimation;
  • Sensor Fusion and Multi-Modal Perception Techniques Combining Vision with LIDAR, Radar, and Ultrasonic Sensors.
• Robust and Resilient Vision and Perception Systems
  • Perception in Low-Light, Adverse Environmental Conditions, and Dynamic Traffic Scenarios;
  • Scene Understanding and Virtual Testing Environments (e.g., Digital Twins, AR/VR).
• Autonomous Driving and ADASs
  • Lane Detection, Traffic Signs, Pedestrian Detection, Path Planning, Driver Monitoring, and Decision-Making Algorithms;
  • Cooperative Perception for Multi-Vehicle and V2X Communication Scenarios.
• Real-Time and Energy-Efficient Computing
  • Edge Computing, Hardware Acceleration, and Low-Power Solutions;
  • Optimization of Perception Algorithms for Embedded Systems.
• Cybersecurity and Privacy
  • Defending Against Adversarial Attacks on Vision and Perception Systems;
  • Ensuring Privacy Compliance in Sensor Data Processing.
• V2X Communications and Smart Mobility
  • Perception-Guided Adaptive Traffic Management and Smart Parking Systems;
  • Interoperability and Standardization for V2X Ecosystems.
• Deployment Challenges and Regulatory Compliance
  • Cost-Effective and Scalable Solutions for Commercial Deployment;
  • Navigating Global Safety and Regulatory Standards for Perception Systems.
• Specialized Applications for Non-Traditional Vehicles
  • Perception Systems for Drones, Maritime, and Off-Road Vehicles;
  • Challenges in Extreme and Remote Environments;
  • Swarm Intelligence and Collective Perception in Unmanned Systems.

We invite researchers, engineers, practitioners, and industry experts to contribute groundbreaking research and innovative solutions to this Special Issue. By fostering collaboration across disciplines, these contributions will advance the knowledge frontier, address critical challenges, and shape practical implementations in vehicular vision and perception systems. Spanning foundational algorithms, robust system designs, and emerging technologies, this Special Issue aims to drive innovation and practical solutions. Together, we aim to define the future of intelligent, secure, and sustainable transportation and mobility through cutting-edge vision and perception systems for vehicles, delivering societal impact through safer, smarter, and efficient transportation and other mobility solutions.

Dr. Mark Amo-Boateng
Dr. Maged Shoman
Dr. Armstrong Aboah
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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.

• computer vision
• vehicle perception systems
• autonomous vehicles
• advanced driver assistance systems (ADASs)
• sensor fusion
• cybersecurity and privacy in automotive systems
• real-time and energy-efficient computing
• robustness and resilience in perception systems
• driver monitoring systems
• smart mobility and V2X communication