Visual intelligence for safe vehicle operation in industrial environment

工业环境中车辆安全操作的视觉智能

• 批准号: LP160100662
• 负责人: Prof Alireza Bab-Hadiashar
• 金额: $ 19.79万
• 依托单位: RMIT University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-12-12 至 2020-12-11
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP160100662
• 关键词: Visual; intelligence; safe; vehicle; operation

Visual intelligence for safe vehicle operation in industrial environment. This project aims to develop safety devices for loosely constrained environments with public access, building on visual-based collision avoidance technology in controlled industrial settings. Increasing productivity in industrial workplaces creates a need for faster industrial vehicles. At fruit and vegetable markets and construction sites, forklift drivers, crane operators and crews are under pressure to move faster. The need for higher speed and the enormous human and financial cost of unsafe operations create opportunities for the deployment of intelligent safety devices. The expected outcomes of this project are safer public industrial environments, reductions in work related injuries, injury compensation costs and associated societal burdens.

工业环境下车辆安全运行的视觉智能。该项目旨在开发安全装置，以控制工业环境中基于视觉的避碰技术为基础，用于公共访问的松散约束环境。工业工作场所生产率的提高创造了对更快的工业车辆的需求。在水果和蔬菜市场和建筑工地，叉车司机、起重机操作员和工作人员都面临着加快速度的压力。对更高速度的需求以及不安全操作带来的巨大人力和财务成本，为部署智能安全设备创造了机会。该项目的预期结果是更安全的公共工业环境，减少工伤，工伤赔偿成本和相关的社会负担。