Vehicle Terrain Detection Using Cluster Models
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Solution Overview
Problem
Current vehicle systems cannot proactively determine terrain type ahead of the vehicle, leading to potential hazards such as slippery surfaces going unnoticed, and struggle with processing noisy and outlier-laden sensor data to accurately identify terrain types.
Innovation Solution
A system using vehicle-mounted sensors to receive and process reflected signals, calculating key parameters, and employing a cluster model to determine terrain type, with the ability to automatically adjust vehicle subsystems and learn from user input or other sensor data for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle-mounted sensors are used to collect terrain data, then the vehicle can determine terrain type, but the collected data contains noise and outlying data points that reduce measurement precision
Solution Approach 1:
The system extracts and removes outlying data points from the sensor data before processing. The outlier removal module identifies and eliminates data points that deviate significantly from the normal data distribution, thereby purifying the dataset and improving measurement precision for terrain type identification.
Solution Approach 2:
The system implements a feedback mechanism where the determined terrain type is fed back to adjust the processing parameters and improve future determinations. This allows the system to learn from previous measurements and continuously improve its accuracy in identifying terrain types despite noisy data.
2Measurement precision
If multiple parameters are calculated from sensor data, then terrain type determination can be more accurate, but the system complexity increases
Solution Approach 1:
The system performs preliminary selection of parameters before full processing. The parameter selection module pre-identifies which parameters are most relevant for terrain type determination, filtering out less useful parameters beforehand. This reduces the computational burden while maintaining accurate terrain type identification.
3Reliability
If the vehicle system proactively determines terrain type ahead of the vehicle, then safety is improved by detecting hazards early, but the system cannot prepare in advance without user input in automated systems
Solution Approach 1:
The system performs self-determination of terrain type using onboard sensors and processing modules without requiring external user input. The automated terrain response system independently analyzes sensor data, identifies terrain types, and adjusts vehicle parameters automatically, enabling fully automated operation while maintaining high safety standards through early hazard detection.
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
Enables proactive adjustment of vehicle systems to anticipated terrain conditions, enhancing safety by accurately identifying terrain types despite noisy data and improving reliability through self-learning and multi-frequency sensor data analysis.
Implementation Method 1
vehicle-mounted sensor which is configured to receive a reflected signal from the terrain
Data Source
AI summary
A system for use in a vehicle for determining an indication of the type of terrain in the vicinity of the vehicle, the system comprising; means configured to receive sensor output data from at least one vehicle-mounted sensor (12, 22) which is configured to receive a reflected signal from the terrain; means configured to calculate at least two parameters from the sensor output data; means configured to convert the at least two parameters to a data point for a cluster model comprising a plurality of clusters of pre-determined data points, wherein each cluster corresponds to a different terrain type; and means configured to define to which one of the clusters the data point belongs, so as to determine an indication of the terrain type.