Road Surface Sensing Using Radar Vectors for Pothole Detection
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Solution Overview
Problem
Advanced driver assistance systems and autonomous self-driving systems face challenges in detecting road irregularities like speed bumps or potholes, especially under poor image quality conditions such as night driving or road reverberation, as conventional methods rely heavily on image data processing.
Innovation Solution
A telemetric sensing system using radar and/or lidar sensors to collect position vectors from the road surface, which are then evaluated by processing circuitry to detect road flatness exceptions, independent of image quality, by analyzing vector lengths and variations, and generating a two-dimensional data array for contour detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image data processing techniques are used to detect road irregularities, then the system can identify traffic indicators and moving vehicles, but the detection performance deteriorates under poor image quality conditions such as night driving or road reverberation
Solution Approach 1:
The patent replaces optical image processing with radar sensing technology. Radar sensors emit electromagnetic waves and detect reflections from road surfaces, enabling detection of road irregularities through electromagnetic wave interaction rather than optical imaging. This substitution allows reliable detection under all weather and lighting conditions, eliminating the harmful effect of poor image quality.
Solution Approach 2:
The patent changes the detection parameter from optical intensity and color information to radar signal characteristics such as time of flight, frequency shift, and signal reflection patterns. By analyzing changes in radar signal parameters when waves interact with road irregularities, the system achieves reliable detection independent of image quality conditions.
2Reliability
If radar and lidar sensors are used to collect position vectors, then the system can detect road irregularities independent of image quality, but the device complexity increases
Solution Approach 1:
The patent designs the radar sensing system to perform multiple functions: detecting road irregularities, measuring position vectors, and characterizing surface geometry. By making the radar system multi-functional, the patent reduces the need for separate specialized sensors, thereby managing device complexity while maintaining high detection reliability.
Solution Approach 2:
The patent introduces position vectors as an intermediary representation between raw radar measurements and road irregularity detection. The position vectors serve as a mathematical mediator that simplifies the processing of complex radar data, making the system more manageable while preserving detection accuracy.
3Measurement precision
If the system processes multiple position vectors to detect road flatness exceptions, then the detection accuracy improves, but the processing time and computational load increase
Solution Approach 1:
The patent segments the road surface into discrete measurement points represented by position vectors. By dividing the continuous road surface into manageable segments, the system can process multiple vectors in parallel and efficiently identify flatness exceptions without overwhelming computational load, balancing accuracy with processing speed.
Solution Approach 2:
The patent processes a sufficient number of position vectors to achieve reliable detection of road irregularities, rather than attempting to process every possible measurement point. This partial action approach provides adequate detection accuracy while avoiding excessive processing time and computational resources.
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
The system effectively detects road irregularities regardless of image quality issues, enabling improved safety by generating alerts for potential hazards like speed bumps or potholes, enhancing the performance of advanced driver assistance systems.
Implementation Method 1
The telemetric sensing system may comprise one or more radar sensors and/or one or more lidar sensors for collecting the plurality of position vectors using radar and/or lidar measurements
Implementation Method 2
The telemetric sensing system may comprise one or more radar sensors and/or one or more lidar sensors for collecting the plurality of position vectors using radar and/or lidar measurements
Data Source
AI summary
A sensing apparatus for detecting speed bumps or potholes on a road is disclosed. The sensing apparatus comprises a telemetric sensing system configured to collect a plurality of position vectors by telemetric sensing of a road surface, wherein each position vector extends from a common origin to a respective point on the road surface and wherein each position vector has a length and a direction. The sensing apparatus further comprises a processing circuitry configured to detect a road flatness exception by evaluating the lengths of the position vectors. Thus, an improved apparatus for detecting road irregularities such as speed bumps or potholes on a road is provided. The sensing apparatus remains functional in low light conditions, e.g., at night, and also in the presence of reverberation of the vehicle. In an implementation form, the telemetric sensing system may comprise one or more radar sensors and/or one or more lidar sensors for collecting the plurality of position vectors using radar and/or lidar measurements.