[China Instrument Network Instrument Development] Ford is working with MIT to launch a special research program including machine learning and automated driving systems. The research project will use Lidar to track and analyze The state of movement of people in the urban environment. The purpose of this study is not only to prevent collisions, but also to improve the autonomous circuit planning of vehicles.
This is an accuracy assessment that can improve the demand of people for public electric transportation services (including car rental service). This system can determine the level of demand for transportation tools in the pedestrian flow in real time, and decide when and where to use public transportation tools. The demand is highest for automatic allocation. This technology will be based on the LiDAR Lidar sensing system and "flat-rate" cameras. The use of inexpensive, uncomplicated sensing equipment to implement the entire system will greatly improve the convenience and flexibility of urban public transportation.
The sensor system can collect traffic data from a large number of pedestrians in cities and use algorithms to apply these data for calculations of different purposes, such as the deployment of automatic deployment tools. Currently, these MIT studies are being conducted in the flight control laboratory of the Department of Aerospace. These electric mobility tools will be piloted on the campus of MIT first, because the campus traffic is smaller than the actual city model. The factors affected by the weather are also relatively small, and it is easier to carry out experimental experiments. After the technology matures, it will be further applied to larger and more realistic test application scenarios. Students can use the mobile app to call electric mobility tools. Once they arrive at the destination, they can have the app send them back to the campus. Based on the algorithm and the judgment of the demand, these electric mobility tools will automatically allocate the position and make the most of the use. effectiveness. According to Ford, the accuracy of these systems using LiDAR systems and cameras is much higher than that of GPS-based systems.
(Original title: Ford and MIT jointly develop a laser radar pedestrian autonomous analysis and planning system)
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