Vehicle Collision Warning System Using Multi-Sensor Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Vehicles face challenges in densely populated areas and low visibility conditions, leading to accidents when occupants attempt to exit, as existing systems fail to effectively detect and warn of potential collisions with nearby traffic in diverse environmental conditions.
Innovation Solution
A collision warning system utilizing multiple sensors (optical cameras, infrared cameras, motion detectors, radar, lasers, and ultrasonic sensors) for 360-degree hazard detection, coupled with internal and external warning signals (audio, visual, and vibratory) to alert occupants and nearby traffic of potential hazards, ensuring continuous detection even in degraded conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensor types are used for hazard detection, then detection reliability in diverse environmental conditions is improved, but device complexity increases
Solution Approach 1:
The hazard detection system is segmented into multiple independent sensor types (optical cameras, infrared cameras, motion detectors, radar, lasers, ultrasonic sensors), each capable of operating independently in different environmental conditions. This segmentation allows the system to maintain reliability by having multiple specialized components rather than relying on a single complex sensor.
Solution Approach 2:
The system employs multiple sensor types that can each perform hazard detection functions in different environmental conditions. Optical cameras work in good visibility, infrared cameras detect heat signatures in low light, radar penetrates weather conditions, and ultrasonic sensors provide backup detection. This multi-functionality ensures the system can detect hazards universally across diverse environments.
2Reliability
If multiple warning signal types are provided, then warning effectiveness to occupants and nearby traffic is improved, but device complexity increases
Solution Approach 1:
The warning system is segmented into multiple independent warning devices that provide different types of signals (audio warnings, visual warnings, vibratory warnings). Each warning type targets different sensory channels of occupants and nearby traffic, ensuring that at least one warning method is effective regardless of environmental conditions or recipient capabilities.
Solution Approach 2:
Different warning signal types are applied to different locations and targets: audio warnings alert occupants inside the vehicle, visual warnings alert nearby traffic, and vibratory warnings provide tactile feedback to occupants. This local quality approach ensures appropriate warning delivery to different stakeholders in different contexts.
3Reliability
If hazard detection is maintained in degraded conditions, then safety is improved, but sensor capability requirements increase
Solution Approach 1:
The system changes detection parameters by switching between different sensor types based on environmental conditions. When optical visibility degrades, the system transitions to infrared detection parameters (heat signature detection). When electromagnetic conditions degrade, it transitions to ultrasonic or radar parameters. This parameter adaptation allows continuous hazard detection despite degraded conditions.
Solution Approach 2:
Different sensor types act as intermediaries that can detect hazards through different physical phenomena. When direct optical detection is blocked by weather or low light, infrared sensors detect thermal radiation as an intermediary indicator of hazards. Radar waves serve as intermediaries to detect objects when optical paths are blocked. These intermediary detection methods enable continuous hazard awareness.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides continuous hazard detection and warning across various environmental conditions, reducing the risk of accidents by alerting occupants and nearby traffic of potential collisions, thereby enhancing safety during vehicle exit operations.
Implementation Method 1
infrared cameras
Implementation Method 2
radar
Implementation Method 3
ultrasonic sensors
Data Source
AI summary
A collision warning system including a vehicle with a first sensor configured to detect an exit condition, a second sensor configured to detect a collision condition, an external warning signal system configured to emit a warning signal to warn a vehicle occupant about the collision condition, the external warning signal system includes at least one warning device configured to emit the warning signal, and a controller configured to communicate with the first and second sensors and to control the at least one warning device in response to the collision condition.