Vehicle Image Sensor Parameter Control for Location-Based Lighting
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Solution Overview
Problem
Self-driving vehicles face challenges in accurately adjusting image sensor settings to handle varying lighting conditions across different geographic locations, leading to potential delays in sensor data processing and object detection.
Innovation Solution
A signal processing system that adjusts image sensor parameters based on determined geographic locations, using data such as lighting characteristics, time of day, and weather to proactively set optimal sensor settings before receiving sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image sensor settings are adjusted manually or reactively based on received sensor data, then the system can achieve accurate image processing, but sensing latency increases and processing speed decreases
Solution Approach 1:
The system proactively adjusts image sensor parameters based on geographic location data before sensor data is received. By determining the vehicle's geographic location and pre-configuring optimal sensor settings for that location, the system eliminates the reactive delay of adjusting settings after data collection, thus reducing sensing latency while maintaining processing accuracy.
2Productivity
If image sensor parameters are dynamically adjusted based on geographic location, then sensing latency is reduced and processing speed improves, but system complexity increases
Solution Approach 1:
The system introduces geographic location data as an intermediary element that mediates between the image sensor and the processing system. By using geographic location as a key parameter to lookup and determine optimal sensor settings, the system simplifies the complexity of direct real-time analysis while enabling proactive parameter adjustment, thus improving processing speed without excessive system complexity.
3Measurement precision
If multiple image types and sensor settings are used to handle varying lighting conditions, then image accuracy improves, but the difficulty of adjusting settings increases
Solution Approach 1:
The system enables self-service by automatically determining optimal image sensor parameters based on geographic location data without requiring manual intervention. The system autonomously selects appropriate settings for different lighting conditions and geographic locations, eliminating the complexity of manual settings adjustment while maintaining high image accuracy across varying environments.
Data Source
AI summary
Provided are methods for location based parameters for an image sensor, which can include determining the geographic location of the vehicle, adjusting the parameters of the image sensor of the vehicle from a first setting to a second setting based on the geographic location of the vehicle, receiving sensor data associated with the image sensor based on the second setting, and processing the sensor data to generate an image. Systems and computer program products are also provided.