Vehicle Scanning ROI Control for Faster High-Accuracy Detection
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Solution Overview
Problem
Existing vehicle sensing systems have limitations such as limited field-of-view, power requirements, reduced object detection capabilities, varying accuracy, high cost, integration difficulties, and poor reliability under environmental conditions, necessitating the use of multiple systems that increase complexity and cost.
Innovation Solution
A control system that determines a region of interest within the vehicle's field-of-view and operates the scanning system to scan this region at an increased resolution while scanning other areas at nominal resolution, optimizing resource allocation for more accurate detection of important features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the scanning system scans the entire field-of-view at high resolution, then the detection accuracy is improved, but the scanning time and power consumption increase significantly
Solution Approach 1:
The patent applies local quality by dividing the field-of-view into different regions with different scanning resolutions. The region of interest (ROI) is scanned at high resolution to ensure accurate detection of relevant objects, while other areas are scanned at lower resolution. This selective approach maintains detection accuracy for critical areas while reducing overall scanning time and power consumption.
Solution Approach 2:
The patent segments the field-of-view into multiple zones based on their importance for vehicle control. By identifying the ROI as a separate segment requiring high-resolution scanning, the system can allocate scanning resources efficiently. The segmentation allows the scanning system to focus computational and temporal resources on the most critical areas rather than uniformly scanning the entire field-of-view.
2Measurement precision
If the scanning system increases scanning resolution across the full field-of-view, then the object detection accuracy is improved, but the power consumption increases
Solution Approach 1:
The patent implements local quality by applying high scanning resolution only to the region of interest (ROI) rather than uniformly across the entire field-of-view. The controller dynamically determines the ROI based on vehicle context and scanning parameters, then allocates scanning resources to concentrate power consumption on the most critical areas. This approach maintains high object detection accuracy where needed while significantly reducing overall power consumption.
3Reliability
If multiple sensing systems are combined to compensate for individual system weaknesses, then the overall system performance is improved, but the system cost and complexity increase
Solution Approach 1:
The patent applies dynamics by making the scanning resolution adaptive rather than static. The controller dynamically adjusts the scanning parameters based on the determined region of interest, vehicle speed, and driving context. This dynamic adaptation allows a single scanning system to perform multiple functions with varying resolution requirements, effectively replacing or reducing the need for multiple dedicated sensing systems while maintaining system reliability and reducing complexity.
Data Source
AI summary
A control system for a vehicle can include one or more controllers, and is configured to: determine a region of interest within a field-of-view of a scanning system of the vehicle; and operate the scanning system to scan portions of the field-of-view outside the region of interest at or below a nominal scanning resolution, and to scan the region of interest at an increased scanning resolution relative to the nominal scanning resolution.