Sensors for Control Engineering in Robotics and Autonomous Vehicles
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: 31 October 2024 | Viewed by 1092
Special Issue Editor
Interests: AI; ANN; machine learning; human machine interaction; obstacle avoidance
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Motivated by the rapid advancement of artificial intelligence (AI), passenger vehicles and public transportation are entering an era of high vehicle autonomy. Increased vehicle autonomy means that vehicle operation is no longer the primary task of the driver and intelligent systems are taking over this task. Cross-disciplinary research is required to address topics of human–machine interaction (HMI) and to develop new sensor-based technologies and intelligent systems that enable AI to successfully take over this task.
Moreover, AI advancements will involve new safety and regulatory issues, as well as ethical concerns, thereby requiring future systems to be designed from the point of view of human–AI interaction.
This Special Issue welcomes all forms of control engineering for robotics and autonomous vehicles application proposals, including research contributions, proof of concepts and state-of-the-art reviews in this field. The topics of interest in this Special Issue include, but are not limited to, the following:
- AI systems for robotics and autonomous vehicles.
- Safety and regulatory issues and ethical concerns in AI advancement for autonomous vehicles.
- Control engineering for robotics and autonomous vehicles.
- Sensors for collision avoidance and autonomous vehicles.
- HMI design for autonomous vehicles.
- Manoeuvre- and non-manoeuvre-based intervention in autonomous vehicles.
- Sensor fusion for collision avoidance systems.
- Autonomous vehicle platforms as an interactive tool.
Dr. Malik Haddad
Guest Editor
Manuscript Submission Information
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Keywords
- AI
- ANN
- autonomous vehicles
- control engineering
- human–machine interaction (HMI)
- machine learning
- robotics
- obstacle avoidance
- regulatory and safety concerns
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