Mobile Body Road-Type Recognition for Context-Aware Speed Control
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Solution Overview
Problem
Conventional technologies struggle to accurately distinguish between a roadway and a predetermined region, such as a sidewalk, leading to potential safety issues due to inappropriate speed control.
Innovation Solution
A mobile object control device that utilizes an external environment detection system to recognize road types by assigning point values based on specific events, using a road type recognition unit to differentiate between roadways and sidewalks, adjusting speed limits accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous driving control is implemented using related art techniques, then basic autonomous navigation is achieved, but the system cannot properly handle emergency situations or unexpected events requiring immediate driver intervention
Solution Approach 1:
The system implements feedback by continuously monitoring driver state through cameras and sensors, detecting when the driver is in an emergency situation (such as sudden steering input or brake pedal depression), and automatically notifying the driver to take control. This feedback loop ensures the system responds to actual driver needs while maintaining autonomous operation during normal conditions.
Solution Approach 2:
The system dynamically adjusts its control mode based on real-time driver state assessment. During normal autonomous operation, the system maintains full autonomous control. When emergency situations are detected through driver behavior analysis, the system transitions to a notification mode, dynamically shifting control responsibility based on the assessed urgency and driver responsiveness.
2Reliability
If the system continuously monitors driver state to detect emergencies, then driver safety is improved, but system complexity and computational load increase
Solution Approach 1:
The driver monitoring system is segmented into multiple independent detection modules: camera-based visual monitoring, sensor-based physiological monitoring, and behavioral analysis algorithms. Each module operates independently to detect specific aspects of driver state, and their results are integrated to make overall safety assessments. This segmentation reduces the complexity of any single module while maintaining comprehensive monitoring capability.
Solution Approach 2:
The system introduces an intermediary notification mechanism between autonomous control and driver intervention. Rather than directly controlling vehicle operations, the system uses notification signals (visual, auditory, or haptic) as an intermediary to alert drivers of emergency situations, allowing the driver to naturally take control when needed without complex direct intervention mechanisms.
3Ease of operation
If the system allows manual override during autonomous operation, then driver control is maintained, but the frequency of manual interventions increases reducing overall automation efficiency
Solution Approach 1:
The system applies preliminary anti-action by proactively notifying drivers of potential emergency situations before they fully develop. By detecting early signs of driver distress or environmental hazards and issuing advance notifications, the system prevents situations that would require manual intervention, thereby maintaining automation efficiency while preserving driver control when genuinely needed.
Data Source
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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.