Cloud-Based Object Detection for Vulnerable Road User Warnings
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Solution Overview
Problem
Vulnerable road users, such as bicyclists and pedestrians, are at risk due to limited detection capabilities of objects in their vicinity, especially in conditions like darkness or obstructed views, as many do not have access to advanced sensors like cameras, radar, or lidar sensors.
Innovation Solution
A device equipped with a sensor unit, object recognition unit, and transmission unit that detects and recognizes objects, stores them in an object list, and transmits this information to a data cloud or mobile device via radio links, enabling the identification and warning of potential hazards to road users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vulnerable road users (bicyclists, pedestrians) are equipped with advanced sensors like cameras, radar, or lidar, then object detection capability is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent introduces a server as an intermediary that centralizes the complex sensor processing and object recognition algorithms. Individual vulnerable road users only need simple sensors and communication modules, while the server performs the heavy computational work of detecting and recognizing objects, thereby resolving the contradiction between detection capability and device complexity.
Solution Approach 2:
The patent merges the detection capabilities of multiple vulnerable road users by collecting sensor data from all participants and processing it centrally on a server. This combination allows the system to achieve comprehensive object detection coverage that would be impossible for individual simple devices, resolving the contradiction between simple individual devices and high detection capability.
2Device complexity
If vulnerable road users use simple detection methods, then device complexity is reduced, but detection precision and reliability deteriorate in challenging conditions like darkness or obstructed views
Solution Approach 1:
The server acts as an intermediary that enhances the precision of simple sensors by performing advanced object recognition algorithms on the collected data. The server can identify objects even in challenging conditions by processing data from multiple sources and applying sophisticated detection logic, thereby compensating for the limitations of simple individual sensors.
Solution Approach 2:
The server provides universal object recognition services to all vulnerable road users, enabling simple devices to achieve high detection precision through the server's multi-functional processing capabilities including object detection, recognition, and hazard assessment.
3Speed
If object detection data is processed locally on each device, then response time is reduced, but information completeness and hazard identification accuracy decrease
Solution Approach 1:
The system performs preliminary data collection and transmission by all participants, preparing the data in advance for centralized processing. This allows the server to quickly process comprehensive information when needed, achieving both speed and completeness by having data ready for immediate analysis.
Solution Approach 2:
The patent combines data from multiple vulnerable road users to create a comprehensive view of the environment. By merging sensor data, object lists, and detection results from all participants, the system achieves complete object information that no single device could obtain alone, while the server's centralized processing maintains fast response times.
Data Source
AI summary
The invention relates to a method for detecting an object (303, 304) in the vicinity of a road user. The method recognizes objects (303, 304) detected by the sensor unit (101) with the object recognition unit (102) of a device (100), stores detected objects (303, 304) in an object list with the memory unit (103), transfers the object list with the transfer unit (104) to a data cloud (306), determines a position of the first road user, transmits the position of the first road user to the data cloud (306), identifies an object (303, 304) near the first traffic participant in the data cloud (306) using the object list, transmits a position and an object type of the identified object (303, 304) from the data cloud (306) to a mobile device of the first road user and displays the object (303, 304) and its position on the mobile device of the first road user.