Autonomous Truck Load Collapse Detection Using Obstacle Sensor Data
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Solution Overview
Problem
Autonomous large transportation vehicles, such as trucks, face challenges in detecting load collapse without a driver present, requiring a complex configuration with additional sensors for load collapse detection.
Innovation Solution
A drive control system that uses a distance sensor to measure obstacles and determine load collapse by analyzing changes in the arrangement of the transportation target over time, utilizing a combination of a distance sensor, shape recognition, and load collapse determination algorithms to identify linear measurement points for load collapse detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a load collapse detection sensor is added to the transport vehicle, then load collapse detection capability is improved, but device complexity increases
Solution Approach 1:
The obstacle sensor is designed to perform multiple functions: detecting obstacles in the environment and detecting load collapse on the transport vehicle. By making the sensor universal, the system achieves reliable load collapse detection without adding separate dedicated sensors, thus maintaining simple device configuration while improving detection capability
Solution Approach 2:
The patent combines the obstacle detection function and load collapse detection function into a single sensor system. The measurement data from the same sensor is used for both purposes, merging two detection functions into one hardware configuration, which reduces overall system complexity while maintaining detection reliability
2Reliability
If multiple sensors are used for obstacle detection and load collapse detection, then detection reliability is improved, but processing capacity requirements increase
Solution Approach 1:
A single sensor system is designed to perform both obstacle detection and load collapse detection functions. The same measurement data is processed to achieve both detection goals, eliminating the need for separate sensor processing pipelines and reducing overall processing capacity requirements while maintaining detection reliability
3Reliability
If a driver is present in the transportation vehicle, then load collapse can be manually monitored, but automation level decreases
Solution Approach 1:
The transportation vehicle system performs self-monitoring of load collapse using automated sensors and processing. The system detects and determines load collapse conditions without human intervention, enabling autonomous operation while maintaining reliable load monitoring through the universal sensor system
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 load collapse determination with a simple configuration, reducing processing capacity and increasing processing speed, facilitating autonomous driving by using a single sensor system for both obstacle and load collapse detection.
Implementation Method 1
the measurement portion is mounted on the transportation vehicle and performs scanning with laser light to measure a distance between the transportation vehicle and a surrounding body
Data Source
AI summary
A drive control system (S) includes a measurement portion (1) configured to detect an obstacle (R) in a transportation vehicle (T), and a load collapse determination portion (4) configured to acquire an arrangement of a transportation target (C) loaded on the transportation vehicle (T) based on measurement data of the measurement portion (1) to determine a load collapse of the transportation target (C) based on a change in the arrangement over time.