Perception and Sensing: How to enable accurate detection and interpretation of dynamic objects in various road conditions?

Sensor Fusion: How to integrate data from various sensors (LIDAR, radar, cameras) to create a comprehensive understanding of the environment?

Localization and Mapping: What are the latest technologies and advanced localization techniques that provide precise positioning information, especially in areas with limited GPS coverage, in complex road conditions and unexpected situations?

Machine Learning and AI for Decision-Making and Planning: How to develop algorithms that can make safe and efficient driving decisions in complex and unpredictable scenarios?

V2X Communication, Connectivity, vehicles control and on-board software: How to implement and improve vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication for enhanced safety and traffic coordination?

Interoperability: How to establish and progress standards that allow different manufacturers’ autonomous trucks to communicate and interact seamlessly on the road, improving traffic flow and safety?

Safety and Redundancy: How to implement redundant systems and fail-safe mechanisms to ensure safe operation in the event of sensor or system failures?

Cybersecurity and Data Privacy: How to protecting the autonomous system from cyber threats and ensuring the privacy of sensitive vehicle and navigation data?

Simulations and Testing: What are the best virtual environments to test and validate autonomous systems’ responses to a wide range of scenarios?

Scalability and Fleet Management: How to build systems that can manage and coordinate large fleets of autonomous trucks efficiently, considering routing, scheduling, and maintenance?

Long-Haul Efficiency: How to optimize energy consumption and range for long-haul routes, considering factors like battery capacity, charging infrastructure, and load efficiency.