Programmable Traffic Light Controller for Autonomous Vehicle Testing
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Solution Overview
Problem
Autonomous vehicles face challenges in accurately detecting and responding to traffic lights, especially in standard and non-standard scenarios, due to the lack of realistic testing conditions, which are difficult to replicate on public roads.
Innovation Solution
A traffic light control system that includes a controller with a transceiver and computer-readable memory to selectively control the operation of traffic lights, allowing for simulation of various scenarios, including standard and non-standard conditions, to test autonomous vehicle image analysis software and perception systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traffic lights operate with fixed standard sequences on public roads, then autonomous vehicles can be tested in real-world conditions, but realistic non-standard scenarios cannot be replicated
Solution Approach 1:
The traffic light control system allows dynamic modification of operation sequences, transitioning from fixed standard patterns to programmable non-standard patterns. The controller can be programmed with custom sequences including extended yellow phases, simultaneous red-green states, and variable timing patterns, enabling versatile testing scenarios while maintaining system reliability through controlled programming
Solution Approach 2:
The system changes operational parameters of traffic lights by programming custom operation sequences that modify timing durations, signal phase transitions, and light emitter activation patterns. This allows replication of rare or hazardous real-world conditions without compromising safety, as parameters can be precisely controlled and reproduced
2Adaptability or versatility
If traffic lights use standard operation sequences, then system simplicity is maintained, but inability to simulate non-standard conditions limits testing capabilities
Solution Approach 1:
The traffic light control system achieves multi-functionality by incorporating both standard and non-standard operation sequences within a single controller. The system can switch between conventional timing patterns and custom-programmed scenarios, providing universal testing capability without requiring multiple separate control systems
Solution Approach 2:
The system uses programmable control to create virtual copies of various traffic light scenarios, including rare or hazardous conditions. By storing multiple operation sequences in memory, the system can replicate different real-world situations without physically modifying the traffic light hardware, maintaining simplicity while enhancing versatility
3Measurement precision
If autonomous vehicles rely on image analysis software to detect traffic lights, then perception accuracy can be improved, but software failures may occur in non-standard scenarios
Solution Approach 1:
The system incorporates feedback mechanisms where the controller monitors the autonomous vehicle's detection performance across different scenarios. By analyzing software responses to various programmed sequences, the system can identify patterns of failure and adjust operation patterns to improve both detection accuracy and software reliability through iterative testing
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
Enables the creation of realistic testing environments for autonomous vehicles to improve their ability to detect and respond to traffic lights, enhancing their navigation and decision-making capabilities in diverse conditions.
Implementation Method 1
controlling operation of the traffic light includes turning on or off at least one of a plurality of light emitters of the at least one traffic light and/or changing a brightness, frequency, or intensity of at least one of the light emitters
Data Source
AI summary
A traffic light control system configured to provide instructions to a traffic light for testing performance of an autonomous vehicle as it approaches the traffic light includes a controller. The controller includes a transceiver in communication with the traffic light and a computer-readable memory storing a plurality of operation routines for the traffic light. The controller is configured to: select an operation routine of the plurality of operation routines on the computer-readable memory; and provide a control signal via the transceiver to the traffic light to control operation of the traffic light according to the selected operation routine. Controlling operation of the traffic light includes turning on or off at least one of a plurality of light emitters of the at least one traffic light and/or changing a brightness, frequency, or intensity of at least one of the plurality of light emitters of the traffic light.