Autonomous Vehicle Signal Detection and Response System
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Solution Overview
Problem
Autonomous vehicles lack the ability to detect and respond to signals from other vehicles, pedestrians, and traffic controllers, such as lane changes or pedestrian intentions, due to limitations in current sensor technologies.
Innovation Solution
A system comprising sensors, processors, and memory that detects signals, determines intended actions, sends response signals, and adjusts based on received responses, including predicting and verifying matches to intended actions, and adjusting brightness or frequency of response signals based on weather and visibility conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional sensors are used for autonomous vehicles, then the vehicle can detect basic objects and environmental data, but the vehicle cannot detect and interpret signals from other vehicles, pedestrians, and traffic controllers
Solution Approach 1:
The sensor system is designed to perform multiple functions: detecting objects, detecting signals (flashing lights, turn signals), and interpreting intentions behind these signals. This multi-functional approach allows a single sensor system to handle both basic environmental perception and specific signal detection, resolving the contradiction between versatility and reliability.
Solution Approach 2:
The system introduces an intermediary processing layer that analyzes sensor data to determine signal characteristics and infer intentions. This intermediary layer acts as a bridge between raw sensor detection and action determination, improving signal interpretation accuracy by adding analytical processing between detection and response.
2Loss of information
If the autonomous vehicle sends response signals to indicate intended actions, then communication with other road users is improved, but the system complexity increases due to need for prediction and verification
Solution Approach 1:
The system implements feedback by sending response signals to communicate intended actions to other road users and then monitoring their reactions. The verification process checks whether the other party's response matches predicted responses, creating a feedback loop that confirms effective communication while managing system complexity through structured verification protocols.
3Reliability
If the system predicts and verifies responses from other road users, then safety is improved by confirming intended actions, but response time is reduced due to additional verification steps
Solution Approach 1:
The system performs preliminary action by predicting possible responses from other road users before the actual interaction occurs. This pre-computation of expected responses allows for faster verification during real-time interaction, as the system only needs to check whether the actual response matches one of the pre-predicted options rather than analyzing all possible responses from scratch.
Data Source
AI summary
Provided herein is a system and method of a vehicle that detects a signal and reacts to the signal. The system comprises one or more sensors; one or more processors; a memory storing instructions that, when executed by the one or more processors, causes the system to perform detecting a signal from a source; determining an intended action of the vehicle based on the detected signal; sending, to the source, a response signal indicative of the intended action; determining whether the source has sent a response to the response signal; and in response to determining that the source has sent a response to the response signal, taking the intended action based on the response to the response signal.