Connected Car Sensor Evaluation for Automatic Operation Assistance
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Solution Overview
Problem
The challenge lies in balancing automatic and manual vehicle operation to ensure stable navigation, as increasing automatic operation rates can lead to inaccuracies in external field sensor data, while increasing manual operation improves stability but increases driver burden, necessitating a system that optimally combines these modes based on sensor accuracy.
Innovation Solution
An automatic operation assistance system that includes a center device managing a database associating traffic environments with sensor evaluation values, allowing vehicles to adjust their automatic operation control based on sensor recognition accuracy, thereby optimizing the use of external field sensors for stable operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the rate of automatic operation is increased, then the driver's burden is reduced, but the operation stability deteriorates in environments where sensor recognition accuracy is low
Solution Approach 1:
The system dynamically adjusts the automatic operation rate based on real-time sensor evaluation values and environmental conditions. The control unit varies the degree of automatic operation control between automatic and manual modes according to the assessed recognition accuracy, rather than maintaining a fixed automatic operation rate. This dynamic adjustment resolves the contradiction by adapting the automation level to match current operational reliability conditions.
Solution Approach 2:
The system changes the parameter of automatic operation rate based on sensor evaluation values. When sensor recognition accuracy is high, the automatic operation rate is increased to reduce driver burden. When recognition accuracy deteriorates, the system transitions to manual operation or reduces automatic intervention, thereby maintaining operation stability while still providing automatic assistance when conditions permit.
2Reliability
If the rate of manual operation is increased, then the stability of vehicle operation is improved through driver's judgements, but the driver's burden increases
Solution Approach 1:
The system adjusts the manual operation rate parameter based on sensor evaluation values. In environments with poor sensor recognition accuracy, the system increases manual operation rate to leverage driver judgement and maintain stability. In favorable environments, the system reduces manual intervention, thereby reducing driver burden while maintaining stability when needed.
Solution Approach 2:
The control unit continuously receives feedback from sensor evaluation values and adjusts the balance between manual and automatic operation accordingly. When sensor performance is assessed as inadequate, the system increases manual operation input. When sensor performance is sufficient, automatic operation is enhanced, thereby reducing driver burden while maintaining stability through feedback-driven adjustments.
3Ease of operation
If automatic operation is adopted in environments with poor sensor recognition accuracy, then the driver's burden is reduced, but the recognition accuracy of external field sensors becomes insufficient
Solution Approach 1:
The control unit acts as an intermediary that mediates between automatic operation commands and sensor input data. It evaluates sensor recognition accuracy and selectively filters or weights sensor data based on this evaluation. When recognition accuracy is poor, the intermediary reduces reliance on affected sensors and compensates through alternative sensors or manual operation, thereby maintaining automatic operation benefits while mitigating sensor deficiencies.
Solution Approach 2:
The system dynamically changes the parameter of sensor reliance or sensor weighting based on recognition accuracy evaluation. For sensors exhibiting poor performance in current conditions, the system reduces their influence on automatic operation control. For sensors performing well, the system increases their weighting, thereby maintaining automatic operation advantage while compensating for individual sensor limitations through parameter adjustment.
Data Source
AI summary
Provided is an automatic operation assistance system comprising: a telematics center (1) that gives notification to a connected car (2) in accordance with a request that originated from the connected car (2), the notification pertaining to the traveling environment of the connected car (2) from which the request originated and a sensor evaluation value matching an external field sensor (22a); and the connected car (2) that changes, on the basis of the sensor evaluation value notified from the telematics center (1), a process for reflecting recognition data of each external field sensor (22a) of the connected car on an automatic operation control of the connected car.