CAVG is structured around an Encoder-Decoder framework, comprising encoders for Text, Emotion, Vision, and Context, alongside a Cross-Modal encoder and a Multimodal decoder. Credit: Communications in Transportation Research, Tsinghua University Press Recently, the team led by Professor Xu Chengzhong and Assistant Professor Li Zhenning from the University of Macau’s State Key Laboratory of Internet of […]
Machine learning & AI
Child pedestrians, self-driving vehicles: What’s the safest scenario for crossing the road?
Crossing roads for children can be a risky calculation, especially when the vehicles are self-driven. In a new study, University of Iowa researchers determined pre-teenage children are safest when self-driving vehicles signaled their intent to yield with a green light when they arrived at the intersection, then stopped. Credit: Tim Schoon, University of Iowa Crossing […]
Advancing the safety of AI-driven machinery requires closer collaboration with humans
Examples of off-road mobile machinery in the Innovative Hydraulics and Automation (IHA) laboratory at Tampere University. Credit: IHA Laboratory, Tampere University An ongoing research project at Tampere University aims to create adaptable safety systems for highly automated off-road mobile machinery to meet industry needs. Research has revealed critical gaps in compliance with legislation related to […]