Wireless Traffic Signal Emitters for Autonomous Vehicle Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current image recognition systems for traffic signals are inaccurate due to weather and environmental factors, consume significant CPU resources, and are costly, making it difficult for autonomous vehicles and humans to detect traffic changes and surrounding traffic effectively, particularly for those with impaired vision.
Innovation Solution
A system of wireless signal emitters associated with traffic sources that broadcast encrypted traffic instructions to vehicles, using JSON format for security and precision, allowing vehicles to decode and execute safe actions based on reliable traffic information, including signals from authorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image recognition systems are used to detect traffic signals, then traffic signal recognition is achieved, but accuracy is dramatically impacted by weather, buildings, lighting and other environmental factors
Solution Approach 1:
The patent introduces wireless transmitters as an intermediary between traffic signals and vehicles. These transmitters receive traffic signal data from traditional traffic lights and re-broadcast them via wireless communication (e.g., Wi-Fi, cellular) to vehicles. This intermediary approach allows vehicles to obtain traffic signal information without relying on visual image recognition, thereby eliminating the harmful effects of weather, lighting, and environmental obstacles on recognition accuracy.
2Loss of information
If image recognition systems are deployed for traffic signal detection, then traffic information can be obtained, but substantial CPU usage, memory consumption, and cost are required
Solution Approach 1:
The patent creates a digital copy of traffic signal information through wireless transmitters. Instead of requiring vehicles to capture and process images of traffic signals, the transmitters create wireless digital copies of the signal data and transmit them directly to vehicles. This copying approach significantly reduces the computational burden on vehicles, as they receive ready-to-use data rather than needing to perform complex image recognition and processing.
3Loss of information
If traditional traffic lights and signs are used, then basic traffic information is provided, but information capacity is limited and insufficient for complex traffic scenarios
Solution Approach 1:
The patent changes the parameter of information transmission from visual/optical (traffic lights and signs) to wireless electromagnetic signals. This parameter change enables the transmission of more complex and detailed traffic information, including but not limited to basic signal colors, turn restrictions, and temporary traffic instructions. The wireless communication medium can carry richer data structures and more comprehensive traffic control information compared to the limited visual display capabilities of traditional traffic lights and signs.
Data Source
AI summary
A system and a method manage wireless traffic signals in order to aid autonomous driving systems and humans to quickly and accurately detect traffic signal changes and surrounding traffic. The system includes a plurality of road vehicles. Each road vehicle includes a vehicle receiver, a vehicle controller, and a vehicle output device. The system also includes a plurality of traffic-signal sources and a plurality of signal emitters. Each signal emitter is associated to a corresponding traffic-signal source from the plurality of traffic-signal sources. Each signal emitter processes traffic signals from the corresponding traffic-signal source and sends the processed traffic signals to the vehicle receivers. The vehicle receivers receive signals from the plurality of signal emitters. The vehicle controller processes the signals received by the vehicle receiver. The vehicle output device executes instructions that are extracted from the signals processed by the vehicle controller.