Camera View Selection for Vehicle Situational Awareness
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Solution Overview
Problem
Current vehicle camera systems lack the ability to dynamically select and display the most relevant camera views based on real-time environmental conditions and user preferences, leading to suboptimal obstacle awareness and situational awareness for drivers.
Innovation Solution
An apparatus and method that utilize camera modules and processing circuitry to obtain view selection information, determining candidate camera views based on reference camera views from other vehicles, previous user selections, and road information, and selecting the most appropriate view for the user based on their preferences and the vehicle's movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple camera views are provided to show surrounding environment, then obstacle awareness is improved, but device complexity increases
Solution Approach 1:
The system dynamically selects and switches between multiple camera views based on real-time driving conditions, vehicle state, and user preferences. The processing circuitry automatically determines the most relevant camera view for current situational context, making the system adaptive rather than static. This resolves the contradiction by providing comprehensive obstacle awareness through multiple cameras while maintaining operational simplicity through automated intelligent selection.
Solution Approach 2:
The camera system performs self-service by automatically selecting appropriate views without requiring manual user intervention. The processing circuitry autonomously evaluates multiple camera inputs, applies selection criteria based on driving conditions and user preferences, and presents the optimal view. This eliminates the need for complex user interfaces or manual camera selection, reducing operational complexity while maintaining high reliability for obstacle detection.
2Loss of information
If camera views are selected based on real-time conditions and user preferences, then situational awareness is improved, but processing complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-storing user preferences and camera configuration data in memory before actual camera view selection is needed. When a selection is required, the processing circuitry quickly retrieves preprocessed information rather than performing complex analysis in real-time. This reduces processing complexity during critical moments while maintaining comprehensive situational awareness through advance preparation of selection criteria.
Solution Approach 2:
The system implements feedback mechanisms where user selections and preferences are continuously monitored and stored. The processing circuitry uses this feedback to refine future camera view selections, learning from user behavior patterns. This feedback loop improves situational awareness over time by adapting to user preferences while managing processing complexity through iterative optimization rather than exhaustive real-time analysis.
3Reliability
If reference camera views from other vehicles are utilized, then obstacle detection is improved, but information processing requirements increase
Solution Approach 1:
The system extracts only the essential and relevant features from reference camera views obtained from other vehicles, rather than processing complete image data. The processing circuitry identifies and extracts key obstacle information, spatial relationships, and contextual data from external camera feeds, discarding redundant information. This extraction approach improves obstacle detection reliability by incorporating external perspectives while managing data processing volume through selective information extraction.
Data Source
AI summary
An apparatus and a method for camera view selection for a first vehicle are provided. The apparatus can include camera modules and processing circuitry. The camera modules are configured to use first camera views to show a surrounding environment of the first vehicle. The processing circuitry can obtain view selection information that indicates at least one of: one or more reference camera views and road information for the first vehicle. The processing circuitry can determine, based on the view selection information, a candidate camera view for the first vehicle from the first camera views and select one of the first camera views for a user of the first vehicle based on at least one of the candidate camera view and a user preference.