Low Frequency Vehicle Localization via Trilateration
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Solution Overview
Problem
Current vehicle detection systems, such as 360° cameras, ultrasonic sensors, and radar, face limitations in low-light conditions, short range, and inability to confirm detected objects as vehicles, leading to incomplete vehicle localization and potential collision risks.
Innovation Solution
A vehicle-based computing system using Low Frequency (LF) transceivers to determine the distance and perimeter of surrounding vehicles through signal broadcasting and processing, enabling accurate vehicle localization and mapping, even in low-light conditions, by employing trilateration algorithms and vehicle-specific data to confirm vehicle presence and position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If 360° camera is used for vehicle detection, then visual coverage is improved, but performance deteriorates in low-light or no-light conditions
Solution Approach 1:
The patent combines multiple detection technologies (camera, ultrasonic sensors, radar, and low-frequency transceivers) into an integrated vehicle detection system. This merging allows the system to overcome the limitations of individual sensors by using their complementary strengths, particularly using low-frequency signals that can penetrate obstacles and work in low-light conditions where cameras fail.
Solution Approach 2:
The detection system is designed to perform multiple functions using a single integrated apparatus. The system can detect vehicles through various means (visual, acoustic, electromagnetic) and adapt to different environmental conditions, making it universally applicable across diverse scenarios including low-light, obstructed, and open environments.
2Measurement precision
If ultrasonic sensors are used for vehicle detection, then short-range detection is achieved, but detection range is limited and coverage is incomplete
Solution Approach 1:
The patent integrates ultrasonic sensors with low-frequency transceivers and other detection systems. The ultrasonic sensors provide precise short-range detection while the low-frequency transceivers extend the detection range and fill coverage gaps, creating a comprehensive detection network that overcomes the limited range of individual ultrasonic sensors.
3Area of stationary object
If radar is used for vehicle detection, then long-range detection is achieved, but full vehicle coverage is not provided
Solution Approach 1:
The patent combines radar with low-frequency transceivers and other sensors. The radar provides long-range detection capability while the low-frequency transceivers and other sensors contribute to precise vehicle localization and complete coverage, allowing the system to achieve both extended range and high precision simultaneously.
4Reliability
If current sensors are used for object detection, then object existence is detected, but vehicle identification capability is lost
Solution Approach 1:
The integrated detection system is designed to perform multiple functions: detecting object existence, identifying vehicles, and localizing them. The low-frequency transceivers and communication systems enable the detection of vehicle-specific signals (such as transponder responses) that provide positive vehicle identification while maintaining reliable object detection capabilities.
Data Source
AI summary
A system includes a first-vehicle processor configured to receive a signal broadcast from a second vehicle. The processor is also configured to determine a distance between a first transceiver, receiving the signal, and a second transceiver, transmitting the signal. The processor is further configured to determine second vehicle dimensions. Also, the processor is configured to digitally map a second vehicle perimeter around a second transceiver location, determined based on the distance and alert a first vehicle driver of a likely overlap condition of the second vehicle perimeter and a first vehicle perimeter.