研究人员开发AI MCVD模型,以改进不同车辆地区的交通管理。 Researchers develop AI model MCVD to improve traffic management in areas with diverse vehicles.

NIT Rourkela的研究人员开发了一种基于AI的车辆探测模型,称为MCVD,以加强发展中国家的交通管理,特别是在汽车、自行车和人力车等混合交通地区。 Researchers at NIT Rourkela developed an AI-based vehicle detection model called MCVD to enhance traffic management in developing countries, particularly in areas with mixed traffic like cars, cycles, and rickshaws. 该模型包括一个闪光融合双向特征金字塔网络工具,显示准确性和实时性能有所改善,有助于减少拥堵和改善道路安全。 The model, which includes a Light Fusion Bi-Directional Feature Pyramid Network tool, shows improved accuracy and real-time performance, helping to reduce congestion and improve road safety. 该团队计划通过开办企业将技术商业化。 The team plans to commercialize the technology through a start-up.