Since the development of automated vehicles (AVs), many experts in the transportation industry have stated that one of the biggest benefits will be improving mobility for disadvantaged travelers (e.g., elderly, persons with disabilities, low-income individuals). However, many of those statements did not identify what is necessary to make AVs improve mobility – is it just that these vehicles will be ...
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NIT-R team comes up with AI-based traffic solution for mixed-traffic environments
Researchers at the National Institute of Technology Rourkela (NIT-R) have developed an AI-based Multi-Class Vehicle Detection (MCVD) model and a Light Fusion Bi-Directional Feature Pyramid Network (LFBFPN) to enhance AI traffic management. Led by Dr. Santos Kumar Das from the Electronics & Communication Engineering department, the team designed an intelligent vehicle detection (IVD) system that accurately identifies vehicles in real-time, ...
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