Mobility Information Provision System for Autonomous Vehicle Collision Avoidance
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Solution Overview
Problem
In autonomous driving systems, accurately predicting and sensing the movement of other mobile bodies, such as vehicles, is challenging, especially in situations like blind spots, bad weather, or intersections, which can lead to abrupt traveling control to avoid collisions.
Innovation Solution
A mobility information provision system that uses a network of terminal devices, wireless base stations, and a server to collect and transmit field information related to the movement of vehicles. The server generates information on a course or movable range for each vehicle, allowing them to travel safely without colliding with others, by mapping actual and predicted positions of vehicles on a road map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a vehicle uses its own sensor to capture images and detect surrounding mobile bodies, then the vehicle can travel safely by avoiding contact, but the vehicle cannot accurately sense movement of other mobile bodies in blind spots or bad weather conditions
Solution Approach 1:
The patent introduces a server as an intermediary that collects field information from multiple terminal devices and generates comprehensive course information. This server acts as a mediator between individual vehicles' limited sensors and the need for comprehensive situational awareness, allowing vehicles to access information about other mobile bodies that their own sensors cannot detect
Solution Approach 2:
The patent merges data from multiple terminal devices through the server to create a unified view of the traffic environment. By combining field information from multiple sources, the system achieves comprehensive detection of mobile bodies that individual vehicle sensors cannot accomplish alone
2Device complexity
If the vehicle independently executes detection and control without external information, then the system remains simple, but the vehicle cannot predict movements of other mobile bodies and must execute abrupt traveling control
Solution Approach 1:
The server generates course information in advance by collecting field information and predicting future positions of mobile bodies. This preliminary action provides vehicles with ahead-of-time knowledge about upcoming traffic conditions, allowing them to plan smooth trajectories without abrupt control actions
Solution Approach 2:
The system implements feedback by continuously collecting field information from terminal devices, updating course information based on actual movements of mobile bodies, and providing this updated information back to vehicles for adjusted trajectory planning
Data Source
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AI summary
A mobility information provision system (1), for mobile bodies (100), includes terminal devices (2) and communication apparatuses (4, 6). The terminal devices (2) are usable in respective mobile bodies (100). The communication apparatuses (4, 6) are provided in respective predetermined zones or sections in which the mobile bodies (100) are to move. The communication apparatuses (4, 6) are each configured to communicate with the terminal device (2) used in a mobile body (100) moving in the predetermined zone or section of which the communication apparatus is in charge, out of the mobile bodies (100). The communication apparatuses (4, 6) are each configured to transmit information to the terminal device (2) used in the mobile body (100) moving in the predetermined zone or section of which the communication apparatus is in charge. The information to be transmitted includes information used to determine movement of corresponding one of the mobile bodies (100) or information used to control the movement of the corresponding one of the mobile bodies (100).