About this Research Topic
The field of Human-Centered Control of Autonomous Land Vehicles focuses on integrating human factors into the design and operation of self-driving systems. As autonomous vehicles (AVs) transition from concept to reality, ensuring the safety, comfort, and trust of passengers becomes crucial. Equally important is safeguarding other road users such as pedestrians and cyclists. The challenge lies in creating control systems that can anticipate and respond to the unpredictable behaviors of humans while maintaining efficiency and reliability. This research area draws from interdisciplinary fields, including robotics, human-computer interaction, and vehicle dynamics, to develop control strategies that enhance safety, minimize discomfort, and foster human-machine collaboration. By prioritizing human-centered design, this collection aims to address critical safety concerns and improve the overall user experience in autonomous land transport.
The scope of this Research Topic encompasses research focused on the development and application of human-centered control systems for autonomous land vehicles. The collection aims to explore innovative solutions such as advanced sensor fusion, machine learning algorithms, and human-machine interface designs, ultimately contributing to the development of more intuitive and socially responsible autonomous driving systems. We welcome contributions that address themes such as passenger comfort optimization, adaptive safety mechanisms for mixed traffic environments, infrastructure for increased safety of road users, and human-machine interaction designs.
Key areas of interest include real-time decision-making algorithms that account for unpredictable vehicle, pedestrian and cyclist behavior, sensor fusion techniques for enhanced environmental awareness, and the development of trust-building systems that improve user acceptance of autonomous vehicles. We welcome original research articles, reviews, and case studies that present novel control architectures, empirical evaluations of safety protocols, or interdisciplinary approaches combining robotics, artificial intelligence, and human factors. The collection also seeks theoretical perspectives on legal and ethical considerations surrounding human-centered design in autonomous transportation systems. Contributions should provide actionable insights to improve the safety, comfort, and overall experience of both passengers and other road users.
The scope of this Research Topic encompasses research focused on the development and application of human-centered control systems for autonomous land vehicles. The collection aims to explore innovative solutions such as advanced sensor fusion, machine learning algorithms, and human-machine interface designs, ultimately contributing to the development of more intuitive and socially responsible autonomous driving systems. We welcome contributions that address themes such as passenger comfort optimization, adaptive safety mechanisms for mixed traffic environments, infrastructure for increased safety of road users, and human-machine interaction designs.
Key areas of interest include real-time decision-making algorithms that account for unpredictable vehicle, pedestrian and cyclist behavior, sensor fusion techniques for enhanced environmental awareness, and the development of trust-building systems that improve user acceptance of autonomous vehicles. We welcome original research articles, reviews, and case studies that present novel control architectures, empirical evaluations of safety protocols, or interdisciplinary approaches combining robotics, artificial intelligence, and human factors. The collection also seeks theoretical perspectives on legal and ethical considerations surrounding human-centered design in autonomous transportation systems. Contributions should provide actionable insights to improve the safety, comfort, and overall experience of both passengers and other road users.
Keywords: Autonomous land vehicles, Control, Human centered design, Autonomous vehicle safety, Vulnerable Road Users
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
