Mobile Object Road Type Recognition for Adaptive Speed Limits
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Solution Overview
Problem
Conventional systems struggle to accurately differentiate between a mobile object's movement on a roadway and a predetermined region, such as a sidewalk, necessitating appropriate speed limit adjustments.
Innovation Solution
A mobile object control device and method that utilizes an external environment detection device to recognize movement on a roadway or sidewalk by adding point values to a roadway score based on specific events, with weighted confidence, and adjusts speed limits accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional road type recognition methods are used, then the system can identify roadway vs. sidewalk, but the recognition accuracy is insufficient to appropriately distinguish between roadway and predetermined regions
Solution Approach 1:
The road type recognition is segmented into multiple independent detection events (first events for roadway indicators, second events for sidewalk indicators). Each event type checks for specific conditions such as presence of vehicles, road surface markings, crosswalks, guardrails, or braille blocks. This segmentation allows the system to evaluate multiple independent pieces of evidence rather than relying on a single ambiguous detection, thereby improving recognition accuracy and reliability for speed control decisions.
2Measurement precision
If multiple detection events are used to improve recognition accuracy, then the system can better distinguish road types, but the processing complexity increases
Solution Approach 1:
The detection system is segmented into distinct event types (first events for roadway, second events for sidewalk) with clearly defined detection conditions. Each event type checks for specific, pre-defined indicators such as vehicles, road markings, crosswalks, guardrails, or braille blocks. This segmentation simplifies the overall complexity by organizing multiple detection tasks into structured, independent categories rather than requiring a single complex detection algorithm.
Solution Approach 2:
The system uses parameter changes in the form of a roadway score that accumulates point values based on detected first events. This quantitative parameter transformation converts multiple qualitative detection events into a single numerical metric that can be compared against a threshold, simplifying the decision-making process while maintaining high recognition accuracy through cumulative evidence evaluation.
3Measurement precision
If the system accumulates point values from multiple events, then the recognition becomes more accurate, but the processing time increases
Solution Approach 1:
The system transforms multiple detection events into a single accumulated roadway score parameter. Each detected first event adds a point value to this score, and the system can quickly determine road type by comparing the accumulated score against a predetermined threshold. This parameter transformation enables efficient real-time processing because the system evaluates evidence incrementally and makes decisions based on the running total rather than requiring complete analysis of all possible events before making a determination.
Data Source
AI summary
A mobile object control device for controlling a mobile object capable of moving both on a roadway and in a predetermined region different from the roadway includes a road type recognition unit configured to recognize whether the mobile object is moving on the roadway or in the predetermined region on the basis of an output of an external environment detection device configured to detect an external situation of the mobile object and a control unit configured to limit a speed of a case where the mobile object moves on the roadway to a first speed and limit a speed of a case where the mobile object moves in the predetermined region to a second speed lower than the first speed. The road type recognition unit adds a point value to a roadway score every time each of a plurality of first events indicating that the mobile object is moving on the roadway is recognized on the basis of the output of the external environment detection device and recognizes that the mobile object is moving on the roadway when the roadway score is greater than or equal to a first threshold value.