Organizers: Assoc. Prof. Ajit Jha, University of Agder, Norway
Autonomous vehicle, either on-land, on/under-surface water or air holds tremendous potential to benefit all aspect of society including transportation, economy, security, trade, health care and many more. This special session is committed to focusing to promote research and development and investment (R&D&I) in Autonomous vehicle.
Autonomous vehicles are capable of performing tasks (such as transport goods and persons) that have historically required human cognition or decision-making abilities. Over the past year, due to the growth of electronics, computing power, availability of frameworks to acquire and process large data set, novel ML algorithms, sensors and sensor fusion, stochastic and statistics signal processing, and (P)ICs have paved the way for its development and crate new sectors of economy, safety and relevant fields. As more
industries adopt the fundamental technologies behind autonomous vehicle, it will continuous to grow from level 0 (no autonomy) to level 5 (fully autonomy). Some of the examples that this could benefit is urban transportation, search and rescue operations, exploration, and navigation.
These advances have primarily been driven by different stakeholder – be it OEMs, suppliers, sensors manufacturers, algorithms development, integration and complete supply chain. Recognizing the tremendous potential and need for continuous advancement, this session focuses on several key areas to bring different stake holders together for addressing current challenges and future road map and ensuring that those capabilities are brought to market to produce prosperity, safety and security, and improved quality of life for the people in years to come.
Because of the breadth of technologies involved in autonomous vehicle several key areas of focus include:
• Unmanned ground vehicle (UGV), unmanned surface vehicles (USV), unmanned underwater vehicle (UUV), unmanned aerial vehicle (UAV)
• Different state-of-the-art vision sensors – CCDs, CMOS, camera (VIS, IR, NIR, thermal), lidar,
camera mmW, ultrasonics; sensor fusion
• Product development (cycle) covering Requirements, architecture, development and testing
• Algorithms – feature detection, Image processing and point cloud processing; ML
• Advanced Driver Assistance System (ADAS) in Autonomous vehicle
• Industry standards and regulations regarding automotive industries
• In-vehicle networking – CAN, LIN, Ethernet; V2X; Cyber Security and related protocols
• Different HW and SW platforms; Edge computing and data compression
• Ethical, legal and societal implications of Autonomous vehicle – how to cre
Please submit your full paper on the submission website by deadline.
Assoc. Prof. Ajit Jha, University of Agder, Norway, firstname.lastname@example.org