Vehicle Control System Route Correction Using Sparse Map Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing autonomous driving technologies face challenges in setting accurate travel routes for various situations, leading to difficulties in maintaining accurate navigation.
Innovation Solution
A vehicle control system that includes a processor for autonomous driving, an input device, a sensing device, and an output device, which measures differences between sparse map routes and sensed data, outputs warnings, and ends autonomous driving mode based on user input, ensuring accurate route correction and navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If autonomous driving technology uses existing route setting methods, then the system can operate with basic navigation capabilities, but the accuracy of travel routes deteriorates in various situations
Solution Approach 1:
The route is segmented into multiple candidate routes (first route, second route, third route) with different characteristics. The system divides the route selection into discrete options rather than treating it as a continuous problem, allowing selective optimization for different situational requirements.
Solution Approach 2:
The system dynamically selects among multiple candidate routes based on real-time situational assessment. The route selection is not fixed but adapts continuously according to detected situations, making the navigation system both precise and versatile across varying conditions.
2Reliability
If the system outputs multiple warning levels, then navigation safety improves through better information provision, but device complexity increases
Solution Approach 1:
Different warning levels (first warning, second warning) are applied locally based on the specific situation and route characteristics. Each warning level has its own threshold and presentation method, allowing the system to provide appropriately differentiated information without requiring a completely complex warning architecture.
Solution Approach 2:
The system provides feedback to the driver through multiple warning levels based on the comparison between actual route progress and target route. This feedback mechanism enhances safety by keeping the driver informed about navigation status and potential deviations.
Data Source
AI summary
The vehicle control system includes a processor that processes data related to driving of a vehicle, an input device for receiving a user input for controlling a driving function of the vehicle, a sensing device for acquiring data related to the driving of the vehicle from the vehicle and an external environment, and an output device for providing information related to the driving of the vehicle, wherein the processor initiates an autonomous driving mode, measures a difference value between a route of a sparse map and a route of a sensed data acquired using the sensing device, controls the output device to output a first warning based on the difference value, and controls the output device to output a second warning having a higher level than a level of the first warning, and end the autonomous driving mode based on the user input.