Vehicle Remote Feature Availability Using Location and Image Cues
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Solution Overview
Problem
Existing driver assistance systems lack the ability to selectively enable or disable features such as steering, acceleration, and braking remotely, based on the vehicle's location and environmental conditions, leading to potential misuse or safety concerns.
Innovation Solution
A driver assistance system that uses location information and image data from imaging devices to determine the availability of remotely accessible features, such as lane or parking demarcation markings, signage, and digital map data, to ensure features are only activated in appropriate conditions, including presence in public roadways or off-road locations, and suitable external conditions like weather and vehicle system status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If remotely accessible features are always available, then ease of operation is improved, but safety and risk of misuse worsen
Solution Approach 1:
The system dynamically adjusts the availability of remotely accessible features based on real-time environmental conditions, location data, and vehicle state. The controller enables or disables remote features selectively rather than maintaining a static availability state, resolving the contradiction by making the system adaptable to changing conditions.
Solution Approach 2:
The system changes the operational parameters of remotely accessible features based on multiple input conditions including location coordinates, environmental characteristics, vehicle state, and user profile. By adjusting these parameters dynamically, the system ensures safety while maintaining ease of operation when conditions are appropriate.
2Reliability
If remotely accessible features are restricted to specific conditions, then safety is improved, but ease of operation worsens
Solution Approach 1:
The system automatically evaluates multiple conditions (location, environment, vehicle state, user profile) and makes intelligent decisions about feature availability without requiring manual user intervention. This self-service approach maintains safety through conditional restrictions while preserving ease of operation by handling the complexity transparently.
Solution Approach 2:
The controller continuously monitors input data from various sources including location services, environmental sensors, and vehicle systems, and uses this feedback to dynamically adjust the availability of remote features. This closed-loop feedback mechanism ensures safety constraints are met while maintaining operational convenience when conditions permit.
3Reliability
If the system monitors multiple environmental conditions and location data, then reliability of feature availability determination is improved, but device complexity worsens
Solution Approach 1:
The controller serves multiple functions: it processes location data, analyzes environmental conditions, evaluates vehicle state, checks user profiles, and determines feature availability all through a single integrated system. This multi-functionality approach improves reliability of availability determination while managing complexity by consolidating rather than multiplying separate systems.
Data Source
AI summary
A driver assistance system for a vehicle, includes one or more controllers and is configured to: receive location information indicative of a location of the vehicle; determine, based on image data received from one or more imaging devices associated with the vehicle, one or more visible characteristics in an environment of the vehicle; determine, based at least in part on the location information and the visible characteristics, an availability of a remotely accessible feature of the vehicle; and output a signal indicative of the availability of the remotely accessible feature.