Autonomous Vehicle Database Navigation Reduces Computing Load
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Solution Overview
Problem
Current autonomous traveling systems face instability due to reliance on either costly infrastructure-based methods or computationally intensive sensor-based systems, lacking a balanced approach that ensures stable operation under varying environmental conditions.
Innovation Solution
An unmanned autonomous traveling service apparatus and method utilizing a driving information database that collects and stores steering information from conventional vehicles, allowing autonomous operation based on this database and sensor data, enabling stable navigation without real-time large-scale computing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If sensor-based autonomous traveling system is used, then implementation cost is reduced, but operational stability deteriorates under various environmental changes
Solution Approach 1:
The patent combines infrastructure-based and sensor-based autonomous traveling systems into a hybrid architecture. The server creates steering information for each traffic lane using infrastructure data, while on-board sensors detect actual road conditions and transmit this data back to the server for database updates. This merging allows the system to benefit from both the stability of pre-computed steering information and the adaptability of real-time sensor data, resolving the contradiction between low cost and operational stability.
2Reliability
If infrastructure-based autonomous traveling system is established, then operational stability is improved, but implementation cost increases tremendously
Solution Approach 1:
The patent introduces a server as an intermediary that collects driving information from multiple normal vehicles and creates standardized steering information for traffic lanes. This intermediary processes and stores steering information in a database, making it accessible to autonomous vehicles without requiring each vehicle to have complex infrastructure communication systems. This approach provides infrastructure-based stability benefits while avoiding the tremendous implementation costs of traditional infrastructure-based systems.
3Measurement precision
If real-time large scale computing process is performed, then autonomous navigation accuracy is improved, but computational burden and time consumption increase
Solution Approach 1:
The patent implements preliminary action by having the server create and store steering information for each traffic lane in advance, based on driving information from normal vehicles. This pre-computed steering information includes path data, lane changes, and intersection information. When an autonomous vehicle needs navigation, it retrieves this pre-prepared information from the database rather than performing large-scale real-time computations, significantly reducing computational time while maintaining navigation accuracy.
Data Source
AI summary
An unmanned autonomous traveling service apparatus and method based on driving information database that allows an unmanned autonomous traveling vehicle to be autonomously operated stably without performing a large scale computing process in real time by allowing the unmanned autonomous traveling vehicle to be autonomously operated based on driving information generated in a database and allowing the unmanned autonomous traveling vehicle to be autonomously operated based on an installed sensor at the time of a traffic lane change or an unexpected situation. In particular, the driving information is collected from drivers throughout the world to create the database for the driving information.