Vehicle Localization Using Road Surface Feature Detection
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Solution Overview
Problem
Vehicle sensor systems face difficulties in recognizing and localizing road features, especially when traditional landmarks are damaged or non-traditional landmarks are not recorded, leading to confusion and inaccurate vehicle localization.
Innovation Solution
A system that uses a combination of dynamics sensors and microphones connected to the vehicle suspension and auditory systems to detect road surface features like expansion joints, rumble strips, and potholes, sending surface-variation signals to a controller which updates topographical data in a mapping database, enabling accurate localization even without traditional landmarks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional landmarks (signs, stoplights) are used for vehicle localization, then the system can achieve localization using conventional methods, but the system fails when these landmarks are damaged or removed
Solution Approach 1:
The system changes the type of landmarks being detected from traditional visual markers (signs, stoplights) to non-traditional road surface features (expansion joints, rumble strips, potholes, lane-cross gaps). This parameter change in landmark characteristics allows the system to maintain localization capability when traditional landmarks are damaged or removed, as road surface features are more permanent and distributed throughout the environment.
2Adaptability or versatility
If vehicle camera systems and LIDAR are used to detect road features, then the system can identify visual landmarks, but these systems are not generally implemented for vehicle localization purposes and may miss non-traditional features
Solution Approach 1:
The system makes existing vehicle sensors (camera systems, LIDAR) perform multiple functions by using them not only for their primary purposes but also for detecting non-traditional road surface features for localization. This multi-functionality allows the system to leverage already-deployed sensors without adding significant complexity, while expanding their utility to include detection of expansion joints, rumble strips, and other road features.
3Measurement precision
If discrete landmarks like expansion joints are recorded to improve localization, then accuracy improves when traditional landmarks are removed, but the system requires new sensing capabilities beyond conventional localization systems
Solution Approach 1:
The system uses the vehicle's own existing sensors and systems to detect and record non-traditional road features for localization purposes. Rather than requiring external infrastructure or specialized equipment, the vehicle leverages its own camera systems, LIDAR, and other onboard sensors to identify and map expansion joints, rumble strips, and other road surface features, thereby improving its own localization accuracy without adding external complexity.
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
This system enhances vehicle localization accuracy by recording and updating topographical data in real-time, using non-traditional road features sensed through unconventional systems, improving navigation and maneuvering capabilities in vehicles.
Implementation Method 1
a dynamics sensor connected with the vehicle suspension system
Implementation Method 2
a microphone configured to determine when the vehicle encounters a road surface feature from road noise
Data Source
AI summary
A system to develop topographical data in a mapping database is herein presented. The system includes: a memory including one or more executable instructions and the mapping database; a controller configured to read and execute the one or more executable instructions; a sensor configured to determine when the vehicle encounters a road surface feature and subsequently send a surface-variation signal including a topographic coordinate update corresponding to the road surface feature. The executable instructions enable the controller to: receive the surface-variation signal from the sensor; and collaborate with the mapping database to develop the topographical data with the topographic coordinate update.