Roadside Sensor Network for Pedestrian Collision Warning
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Solution Overview
Problem
Current approaches to enhancing human abilities in transportation-related contexts, such as hearing and vision, are limited by social stigma, effectiveness, and do not address all sources of distraction or impairment, leading to increased accident risks due to aging populations and information overload.
Innovation Solution
The Ability Enhancement Facilitator System (AEFS) uses computer- and network-based methods to analyze data from road-based devices like cameras and microphones to detect threats and provide users with real-time information via wearable devices, enhancing senses and faculties to prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hearing aids and corrective lenses are used to enhance human senses, then sensory abilities are improved, but social stigma increases and device complexity increases
Solution Approach 1:
The patent replaces mechanical sensory enhancement devices (hearing aids, corrective lenses) with an electronic system that uses microphones, cameras, and processors to detect and communicate threats. The system substitutes biological sensory limitations with technological detection and information delivery mechanisms, eliminating the need for traditional sensory aid devices.
2Reliability
If legal regimes prohibit telephone and media device use while driving, then driver distraction is reduced, but enforcement difficulty increases and productivity decreases
Solution Approach 1:
The system enables drivers to receive threat information without manual interaction with communication devices. The automated threat detection and notification system provides safety information passively, eliminating the need for drivers to manually operate phones or media devices while driving, thus maintaining safety without requiring enforcement.
3Reliability
If more information is provided to drivers about road conditions and threats, then driving safety is improved, but information overload increases and human ability limits are exceeded
Solution Approach 1:
The system extracts only the most critical threat information from the complex sensory environment and delivers it to the driver in a simplified format. Rather than providing all available road condition data, the system identifies and communicates only essential safety-relevant threats, filtering out extraneous information that would contribute to overload.
Solution Approach 2:
The system provides information with local quality by delivering specific, location-relevant threat alerts rather than general road condition data. Each notification is tailored to the driver's immediate situation and position, providing high-value information only where and when it is most needed for safety decisions.
Data Source
AI summary
Techniques for ability enhancement are described. Some embodiments provide an ability enhancement facilitator system (“AEFS”) configured to enhance a user's ability to operate or function in a transportation-related context as a pedestrian or a vehicle operator. In one embodiment, the AEFS is configured perform vehicular threat detection based on information received at a road-based device, such as a sensor or processor that is deployed at the side of a road. An example AEFS receives, at a road-based device, information about a first vehicle that is proximate to the road-based device. The AEFS analyzes the received information to determine threat information, such as that the vehicle may collide with the user. The AEFS then informs the user of the determined threat information, such as by transmitting a warning to a wearable device configured to present the warning to the user.