Artificial intelligence
The specialized equipment for vehicle-road-cloud integrated last-mile delivery
Background of Practice: With social development, improved living standards, and changing consumer attitudes, more people are willing to purchase services to save time and effort, enjoying a more convenient and efficient lifestyle. Simultaneously, as China's aging population accelerates and elderly mobility decreases, there is visible future growth in industries like last-mile delivery for takeout and courier services. However, the costs associated with these services are prohibitively high, necessitating unmanned last-mile delivery services to reduce living expenses. Currently, the steady advancement of smart connected "vehicle-road-cloud integration" pilot projects provides a perfect solution to this demand. In response, we have introduced a specialized vehicle-road-cloud integrated last-mile delivery equipment. Overall Practice Strategy: We seek collaboration with prestigious universities and large enterprises, which have significant potential for last-mile delivery demands internally. Initially, we deploy our products in campuses, parks, or industrial zones for operational testing. This includes large-item transfers, as well as last-mile delivery services for takeout and courier within campuses, and material or goods transfer services within industrial parks or factory zones. Through collaboration with property management and owners, we pilot vehicle deployments in select large residential areas to meet residents' last-mile delivery needs for takeout and courier services. During equipment operation, real-time road data is collected using onboard sensors such as laser radar, millimeter-wave radar, cameras, etc. This data, combined with chassis and vehicle data, is integrated with cloud data to achieve unmanned vehicle-road-cloud integrated autonomous delivery. Data is uploaded to the cloud in real-time for subsequent technical analysis. On the technical front, the equipment's overall control framework includes four systems: - The control system integrates signals from sensors in the perception system, processes them through processing modules to generate control commands, and transmits these commands to the chassis system. - The chassis system, as the vehicle's execution layer, achieves real-time response and feedback horizontally and vertically. - The interaction system outputs signals from the perception system and interacts with the control system. - The front end provides multiple protocol communication interfaces, multiple voltage power supply interfaces, and plug-and-play capabilities to meet the power supply and communication needs of commonly used mature laser radar, cameras, and industrial computers, thereby saving development time.