Vehicle Object Detection Warnings With Custom Distance Thresholds
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle object detection systems lack customization options for warning characteristics, such as distance thresholds, which can lead to inadequate or excessive warnings based on predefined settings, not aligning with the occupant's specific preferences or environmental contexts.
Innovation Solution
An object detection system that allows vehicle occupants to customize warning characteristics, including distance thresholds, through a user interface, enabling personalized priority assignments for various classes of objects or specific locations, and issuing warnings based on these customized settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If predefined warning settings are used, then the system is simple to operate, but the warning characteristics do not align with occupant preferences
Solution Approach 1:
The system dynamically adjusts warning characteristics based on occupant input. The processor receives priority assignments from the occupant and modifies warning behavior in real-time, transitioning from static predefined settings to adaptive customized warnings that respond to occupant preferences and detected object priorities
Solution Approach 2:
The system changes warning parameters such as distance thresholds and alert timing based on priority assignments. High-priority objects trigger warnings at different distance thresholds compared to low-priority objects, allowing the same system to adapt its operational parameters to different situations and occupant preferences
2Adaptability or versatility
If customized warning characteristics are implemented, then the system aligns with occupant preferences, but the device complexity increases
Solution Approach 1:
The system segments objects into different priority categories (high-priority, medium-priority, low-priority) based on object characteristics and occupant preferences. This segmentation allows the system to apply different warning characteristics to different object types, achieving customization without requiring complete system redesign
Solution Approach 2:
The system performs preliminary classification of detected objects into priority categories before issuing warnings. By pre-establishing priority assignments for different object types and locations, the system prepares customized warning responses in advance, reducing the complexity of real-time decision-making
3Reliability
If priority assignments are applied to objects, then unnecessary alerts are reduced, but the system requires additional customization input
Solution Approach 1:
The system provides default priority assignments for common object types and locations, allowing it to function effectively without requiring extensive occupant customization. The occupant can override defaults when needed, but the system serves itself with reasonable warning behavior out of the box, reducing the burden on the user
Data Source
AI summary
An object detection system for a vehicle includes a processor and a memory communicably coupled to the processor. The memory stores instructions that when executed by the processor cause the processor to receive a priority assignment set by an occupant of a vehicle. The priority assignment corresponds to a customization of at least one warning characteristic. The at least one warning characteristic includes a distance threshold. The instructions also cause the processor to detect an object in an external environment of the vehicle and apply the priority assignment to the object. The instructions further cause the processor to issue a warning according to the at least one warning characteristic. According to the distance threshold, the warning is issued when a distance from the vehicle to the object meets the distance threshold.


