Vehicle Driving Mode Switching for Map-Road Condition Mismatch
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Solution Overview
Problem
Conventional vehicle control systems using high-precision maps may not accurately match road conditions, leading to inadequate vehicle driving control in response to surrounding situations.
Innovation Solution
A vehicle control device and method that includes a recognizer to identify surrounding situations and a driving controller to adjust steering and acceleration/deceleration, allowing the vehicle to switch between driving modes based on recognized objects, such as traffic lights, tunnels, two-wheeled vehicles, and road shoulders, to ensure appropriate control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high-precision map information is used for automated driving control, then the vehicle can maintain target speed and follow preceding vehicles, but the control may become inappropriate when the map does not match actual road conditions
Solution Approach 1:
The system continuously monitors surrounding situations using sensors (camera, radar, LIDAR) and compares actual road conditions with map information. When discrepancies are detected (e.g., traffic lights, tunnels, road shoulders not matching map data), the system provides feedback to restrict automated driving execution, ensuring control appropriateness while maintaining productivity in matching conditions
Solution Approach 2:
The automated driving execution is made dynamic by allowing real-time switching between execution and restriction states based on surrounding situation recognition. The driving controller dynamically adjusts control strategy by restricting execution when specific objects are detected that indicate map-actual mismatches, resolving the contradiction between maintaining automated driving productivity and ensuring reliability
2Speed
If the vehicle executes first driving mode to reach target speed, then travel efficiency is improved, but safety may be compromised when specific objects like traffic lights or tunnels are present
Solution Approach 1:
The system performs preliminary recognition of surrounding situations using multiple sensors before executing the first driving mode. By detecting specific objects (traffic lights, tunnels, road shoulders) in advance, the system takes preliminary anti-action by restricting speed-oriented driving control when these objects are present, preventing safety risks before they occur while allowing efficient travel when conditions are safe
3Reliability
If the system restricts first driving mode execution when specific objects are recognized, then safety and appropriateness are improved, but the frequency of automated driving execution decreases
Solution Approach 1:
The system applies local quality by restricting automated driving execution only in specific local situations where specific objects (traffic lights, tunnels, road shoulders) are detected, rather than globally disabling the first driving mode. This allows the system to maintain high control appropriateness in critical areas while preserving automated driving execution frequency in safe conditions, resolving the contradiction between reliability and productivity
Data Source
AI summary
A vehicle control device of the embodiment includes a recognizer that recognizes a surrounding situation of a host vehicle; and a driving controller that controls one or both of steering or acceleration/deceleration of the host vehicle to cause the host vehicle to travel, wherein the driving controller causes the host vehicle to travel in any of a plurality of driving modes including a first driving mode in which the host vehicle travels so that the speed of the host vehicle reaches a target speed, and the driving controller restricts the execution of at least the first driving mode when a specific object is recognized in a traveling direction of the host vehicle based on map information or a recognition result from the recognizer during the execution of the first driving mode.