Driving Assistance Activation Using Weighted Occupant Confirmation
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Solution Overview
Problem
Existing driving assistance systems face challenges in reliably determining whether a vehicle is in a specific operating environment, such as a freeway, due to limitations in sensor data availability and accuracy, which can lead to restricted availability of driving assistance functions.
Innovation Solution
The system captures various circumstances indicating the vehicle's situation and incorporates a confirmation action from the vehicle occupant, weighting the influence of the confirmation action based on a trustworthiness value assigned to the occupant, to enhance the reliability and availability of driving assistance functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system relies solely on sensor data (GNSS, camera, lidar) to determine vehicle position and operating environment, then measurement precision may be improved, but reliability deteriorates due to insufficient sensor data availability and quality in certain situations
Solution Approach 1:
The system introduces a human occupant as an intermediary indicator source to bridge the gap between sensor data limitations and reliable operating environment identification. The occupant's confirmation action serves as a mediator that validates or corrects system determinations when sensor data is insufficient, thereby improving reliability without compromising measurement precision.
Solution Approach 2:
The system merges multiple independent indicator sources including sensor data (GNSS, camera, lidar), digital map information, and human occupant confirmation actions into a unified determination mechanism. This combination allows the system to leverage the strengths of each source while compensating for their individual weaknesses, resolving the contradiction between precision and reliability.
2Reliability
If the system requires high statistical certainty based on sensor data before activating driving assistance functions, then safety is improved, but availability of the functions deteriorates due to unnecessary restrictions in situations where sensor data is insufficient
Solution Approach 1:
The human occupant acts as a mediator who can confirm activation of driving assistance functions in situations where sensor data alone would not provide sufficient statistical certainty. This intermediary role allows the system to maintain safety standards while expanding availability by incorporating human judgment as a validating element.
Solution Approach 2:
The system accepts partial confirmation from the occupant as sufficient in certain situations rather than requiring complete sensor data validation. This partial action approach allows function activation when sensor data is insufficient but occupant confirmation is obtained, thereby improving availability without fully compromising safety through the weighted trustworthiness evaluation.
3Reliability
If the system restricts activation of driving assistance functions when sensor data quality is insufficient, then reliability is improved, but productivity deteriorates due to reduced functional availability and unnecessary limitations
Solution Approach 1:
The occupant's confirmation action serves as an intermediary that enables function activation in situations where sensor data quality is insufficient. This mediator allows the system to maintain reliability through weighted evaluation of the confirmation while improving productivity by removing unnecessary limitations on function availability.
Solution Approach 2:
The system dynamically changes the weighting parameter of occupant confirmation based on sensor data quality and situation assessment. When sensor data is sufficient, the confirmation is weighted less; when sensor data is insufficient, the confirmation is weighted more highly. This parameter adjustment allows the system to maintain reliability while maximizing productivity across different operating conditions.
Data Source
AI summary
The present disclosure relates to a driving assistance system for a vehicle, which is designed to detect one or more factors providing one or more items of guidance for a situation in which the vehicle finds itself, to detect a confirmation action performed by a vehicle occupant; and to execute a driving assistance function according to the detected factor or the detected factors and according to the detected confirmation action. An influence of the detected confirmation action on the executing of the driving assistance function is weighted according to a reliability value associated with the vehicle occupant, which has been determined by the driving assistance system on the basis of confirmation actions performed by the vehicle occupants in different situations in the past.