Event-Driven ROI Management for Vehicle Sensor Blind Spots
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing automated driving systems face challenges in managing sensor fields of view, leading to blind spots due to narrow views from individual sensors, which can increase cost and data processing latency when attempting to widen the field of view.
Innovation Solution
Implementing an event-driven dynamic region of interest management system that identifies and adapts to environmental events, using a computing system to detect relevant regions and provide data for vehicle control, integrating sensor data to enhance field of view management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the field of view is widened by adding more sensors, then the coverage area is improved, but the system cost increases
Solution Approach 1:
The patent implements dynamic region of interest management where the sensor field of view is adjusted in real-time based on detected events. Instead of using a fixed wide field of view from multiple sensors, the system dynamically redirects sensors to focus on relevant regions when events are detected, achieving wide effective coverage with fewer sensors.
Solution Approach 2:
The system employs periodic scanning and event-driven updates to the sensor field of view. Sensors periodically monitor their current region and update their focus when events are detected, allowing the system to achieve comprehensive coverage over time without requiring all sensors to be active simultaneously across the entire area.
2Area of stationary object
If the field of view is widened by adding more sensors, then the coverage area is improved, but the data processing latency increases
Solution Approach 1:
The patent extracts and processes only the relevant region of interest from the entire sensor field. Instead of processing data from all sensors covering the full 360-degree environment simultaneously, the system identifies and extracts only the portions containing events or potential threats, significantly reducing processing latency while maintaining effective coverage.
Solution Approach 2:
The system dynamically adjusts the processing scope based on event detection. When no events are present, minimal processing is performed. When events are detected, the system dynamically expands processing to include relevant regions, optimizing the balance between coverage and processing speed in real-time.
3Device complexity
If a narrow field of view is used from individual sensors, then the system cost is reduced, but blind spots are created in the coverage area
Solution Approach 1:
The patent makes individual sensors multi-functional by enabling them to dynamically adjust their field of view and cover different regions at different times. A single sensor can serve multiple coverage roles by redirecting its focus based on event detection, eliminating the need for multiple dedicated sensors for each specific area while maintaining comprehensive coverage.
Solution Approach 2:
The system uses dynamic field of view adjustment to compensate for the narrow static view of individual sensors. When events are detected in specific regions, sensors dynamically redirect their narrow beams to cover those areas, ensuring that blind spots are temporarily eliminated when needed without requiring permanent additional sensors.
Data Source
Figure 1
Figure 2A
Figure 2B
AI summary
This application discloses a computing system to implement event-driven region of interest management in an assisted or automated driving system of a vehicle. The computing system can identify a portion of an environmental model for a vehicle that corresponds to a region of interest for a driving functionality system. The computing system can detect at least one event associated with the region of interest in the environmental model, and provide data corresponding to the detected event to the driving functionality system. The driving functionality system can utilize the data corresponding to the detected event to control operation of the vehicle.