Page 13: Research news on AI traffic safety

AI traffic safety concerns the use of artificial intelligence to prevent crashes and reduce injuries in road transport systems. Work in this area spans perception and decision-making for autonomous and cooperative driving, AI-enhanced traffic cameras and inspections, and predictive tools for urban planning and enforcement. Human factors are central, including driver stress and vigilance monitoring, cognitive load and takeover performance in semi-autonomous vehicles, moral decision-making in automated systems, and feedback-based interventions that shape safer driving behavior.

Computer Sciences

BAFT AI autosave system can cut training losses by 98%

A research collaboration between Shanghai Jiao Tong University, Shanghai Qi Zhi Institution, and Huawei Technologies has introduced BAFT, a cutting-edge autosave system for AI training that minimizes downtime and optimizes ...

Automotive

AI camera tech promises affordable self-driving cars

AI-powered camera technology developed by Australian Catholic University will enable cars to react faster than an Olympic sprinter, see in 3D, and make autonomous driving safer and more affordable.

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