Dynamic Driving Information Graph for Blind Spot Detection
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Solution Overview
Problem
Current panoramic assistance systems have limited computing ability, restricting their ability to provide driving information beyond low-speed scenarios, thus failing to alert drivers of potential hazards outside their view during regular speeds, leading to increased driving risks.
Innovation Solution
An assistance system comprising an ambient vehicle sensing unit, wireless communication unit, and processing unit that detects and communicates ambient object information to generate a dynamic driving information graph, enabling real-time display of relative positions and states of vehicles and objects outside the driver's view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If panoramic assistance system uses image fusion method to display ambient images, then comprehensive ambient information is obtained, but computing ability requirement increases greatly
Solution Approach 1:
The system segments the complex image fusion task by dividing ambient object detection into multiple independent sensing zones around the vehicle. Each sensing unit independently processes objects in its specific direction and distance range, then results are combined to form the complete ambient picture, reducing the computational burden on any single processing unit
Solution Approach 2:
The patent introduces a communication unit as an intermediary that enables vehicles to exchange ambient object detection results. Instead of each vehicle independently performing comprehensive image fusion, vehicles share detection data through wireless communication, allowing the main vehicle to reconstruct a more complete ambient picture with reduced local computing requirements
2Reliability
If panoramic assistance system provides parking assistance in low speed, then parking safety is improved, but ability to provide assistance in regular speed decreases
Solution Approach 1:
The system is designed with multi-functional capability to serve different driving scenarios. By integrating wireless communication to receive ambient object relation lists from other vehicles and combining this with locally detected object information, the system provides reliable assistance for both low-speed parking and regular-speed driving, adapting to various speed conditions without requiring separate specialized systems
3Device complexity
If driver relies on natural sight during driving, then no additional system complexity is introduced, but dead angles increase and driving risks arise
Solution Approach 1:
The system merges the driver's natural visual detection capability with automated sensing units and wireless communication data. Multiple detection sources (driver's view, onboard sensors, and ambient vehicle shared data) are combined to create a comprehensive ambient object relation list that eliminates dead angles while maintaining simple operation for the driver
Data Source
AI summary
An assistance system and a generation method of dynamic driving information, which acquire object information of an ambient object near by a main vehicle to establish an ambient object relation list of the main vehicle, receive an ambient object relation list of an ambient vehicle, and determine object information of the ambient object relation list of the ambient vehicle before being added in the ambient object relation list of the main vehicle, so as to establish a dynamic driving information graph.