The field of autonomous transportation is moving towards more sophisticated and integrated systems, with a focus on enhancing safety and efficiency. Recent developments have highlighted the importance of adaptive cruise control, artificial intelligence-powered solutions, and computer vision systems in achieving these goals. Notable advancements include the use of AI for pedestrian and cyclist safety, as well as the development of more effective object detection models for autonomous driving. Additionally, research has emphasized the need for culturally sensitive and context-aware approaches to AI-enhanced monitoring and surveillance. Overall, the field is advancing rapidly, with a growing emphasis on practical applications and real-world implementation. Noteworthy papers include:

• A comprehensive review on AI-empowered solutions for enhancing pedestrian and cyclist safety, which highlights four major open challenges and provides a foundational reference for future research.
• A study on milestone determination for autonomous railway operation, which proposes a practical framework for training vision agents in controlled environments.