Sub-Short Range Active Light Sensing for Lane Boundary Detection
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Solution Overview
Problem
Current advanced driver-assistance systems (ADAS) for lane boundary detection face challenges due to high costs and performance degradation in adverse weather conditions, particularly when using long-range LiDAR devices for detecting distant lane markers.
Innovation Solution
Implementing a sub-short range active light sensor mounted on a vehicle to detect lane boundaries, which uses low-power light sources and high frame rates, and combines sensor data from multiple sources, including audio and vibration sensors, to achieve accurate lane boundary detection at a lower cost.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If long-range LiDAR devices are used for lane boundary detection, then detection range is improved, but cost and performance degradation in adverse weather conditions worsen
Solution Approach 1:
The patent replaces expensive long-range LiDAR devices with multiple low-power sub-short range active light sensors that collectively cover the required detection area. Each sensor operates at lower power and cost, but together they provide comprehensive lane boundary detection capability without the performance degradation issues of long-range LiDAR in adverse weather
Solution Approach 2:
The patent divides the detection task into multiple segments by using several sub-short range active light sensors positioned at different locations on the vehicle. Each sensor covers a specific zone, and their combined data provides complete lane boundary detection, replacing the single long-range LiDAR approach
2Measurement precision
If multiple sensors are combined for lane boundary detection, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent combines data from multiple sub-short range active light sensors along with audio and vibration sensors into a unified detection system. The sensor fusion component integrates these diverse data sources to improve lane boundary detection accuracy while managing system complexity through coordinated processing
3Use of energy by moving object
If low-power light sources are used in sub-short range active light sensors, then energy consumption is reduced, but detection capability in adverse conditions may worsen
Solution Approach 1:
The patent segments the detection task across multiple low-power sensors rather than relying on a single high-power sensor. This distribution allows each sensor to operate at low power while collectively maintaining detection capability through sensor fusion and data integration
Solution Approach 2:
The patent uses multiple copies of low-power active light sensors positioned at different vehicle locations. Each sensor creates a localized detection zone, and their combined coverage compensates for the lower individual power output, maintaining overall detection reliability without high energy consumption
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 solution enables accurate lane boundary detection with improved reliability in adverse conditions at a lower cost compared to traditional long-range LiDAR systems, utilizing sub-short range active light sensors with integrated light sources and detectors for efficient scanning and data fusion.
Implementation Method 1
a sub-short range active light sensor...configured to detect a lane boundary of a surface on which the vehicle is traveling
Implementation Method 2
The sub-short range active light sensor includes a flash light ranging and detection device. The sub-short range active light sensor includes a triangulation light ranging and detection device
Implementation Method 3
The sensor includes an audio sensor and wherein the second output is based on detecting audio using the audio sensor. The audio is generated by a wheel of the vehicle contacting a road marker on the surface
Implementation Method 4
The sensor includes a vibration sensor and wherein the second output is based on detecting vibration using the vibration sensor. The vibration is generated by a wheel of the vehicle contacting a road marker on the surface
Data Source
AI summary
A vehicle comprises: a vehicle body; a sub-short range active light sensor mounted to the vehicle body and configured to detect a lane boundary of a surface on which the vehicle is traveling; and an advanced driver-assistance system configured to register a lane boundary detection by the sub-short range active light sensor and perform an action in response to the lane boundary detection.