Hazard Map Generation for Low-Load Autonomous Driving
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing autonomous driving systems face high processing loads due to the calculation required for determining collision possibilities with other vehicles, which increases the computational burden.
Innovation Solution
A map generator and driving assistance system that collects monitoring information from fixed and mobile monitors to generate a map including geographical and hazardous area information, reducing the need for vehicles to perform complex calculations by providing pre-generated maps for autonomous driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If each vehicle calculates relative position and determines collision possibility with other vehicles, then autonomous driving safety is improved, but processing load and calculation load increase
Solution Approach 1:
The patent introduces a server as an intermediary that performs the complex calculation tasks of generating road maps and determining hazardous areas. Instead of each vehicle calculating collision possibilities independently, the server acts as a mediator that processes monitoring information from multiple vehicles and provides pre-calculated safety data, thereby reducing the processing load on individual vehicles while maintaining autonomous driving safety
Solution Approach 2:
The server performs preliminary calculations by generating road maps and identifying hazardous areas in advance before vehicles need to make driving decisions. By pre-processing the monitoring information and preparing safety data beforehand, the system eliminates the need for vehicles to perform real-time collision calculations, reducing their processing load while ensuring safety through pre-analyzed hazard information
2Reliability
If each vehicle determines collision possibility based on relative position information, then collision avoidance capability is improved, but calculation load increases
Solution Approach 1:
The server serves as an intermediary that handles the computationally intensive tasks of analyzing monitoring information and determining hazardous areas. Vehicles receive pre-processed collision avoidance data from the server, eliminating the need for them to perform heavy calculations independently, thus reducing their energy consumption while maintaining collision avoidance capability
Solution Approach 2:
The system performs preliminary analysis of collision risks by generating road maps and hazardous area information in advance on the server. This pre-computation allows vehicles to receive ready-made collision avoidance data without performing energy-intensive real-time calculations, thereby reducing calculation load while preserving the ability to avoid collisions
Data Source
AI summary
A map generator 100 includes: a collector 65 that collects monitoring information in an environment; and a creator 67 that generates a map 2 for assisting autonomous driving of a mover 1 based on the monitoring information. The creator 67 obtains a hazardous area 3 that is included in the environment and to be avoided based on the monitoring information. The creator 67 generates the map 2 including geographical information 21 and the hazardous area 3.