Vehicle Cargo Overhang Detection Using Time-of-Flight Sensors
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Solution Overview
Problem
Conventional exterior detection systems for vehicles are inadequate in monitoring overhanging cargo and estimating obstruction interactions, leading to potential contact points and limited maneuverability.
Innovation Solution
A detection system utilizing time-of-flight devices, such as RADAR modules, to capture positional information about cargo and obstructions, calculating overhang lengths and endpoints, determining potential contact points, and adjusting steering and speed to prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional exterior detection systems are used, then the system structure is simple, but the system cannot accurately monitor overhanging cargo and estimate obstruction interactions
Solution Approach 1:
The detection system segments the cargo monitoring task by separately detecting the vehicle rear end position, cargo endpoints, and obstruction positions using multiple time-of-flight devices. The control circuitry processes these segmented measurements independently to calculate overhang dimensions and potential contact points, improving measurement precision without overwhelming system complexity
Solution Approach 2:
The time-of-flight devices serve multiple functions: detecting the vehicle rear end, detecting cargo endpoints, and detecting obstruction positions. This multi-functionality allows the system to achieve comprehensive cargo monitoring precision using a single type of detection device, avoiding the need for multiple specialized sensors
2Adaptability or versatility
If conventional detection systems are used, then the device complexity is low, but the vehicle maneuverability is limited due to inability to detect potential contact points
Solution Approach 1:
The system performs preliminary detection of cargo overhang dimensions and obstruction positions before vehicle maneuvering. The control circuitry calculates potential contact points in advance, allowing the vehicle to plan and execute maneuvers that avoid collisions, thereby improving adaptability without requiring complex real-time response systems
Solution Approach 2:
The control circuitry acts as an intermediary that processes detection data from time-of-flight devices and generates steering guidance. This intermediary layer translates raw detection data into actionable maneuvering instructions, enabling versatile vehicle control while keeping the detection hardware relatively simple
3Reliability
If the detection system calculates detailed cargo overhang and contact points, then the collision risk is reduced, but the calculation complexity increases
Solution Approach 1:
The system calculates only the essential parameters needed for collision avoidance: cargo endpoint positions, overhang length, and potential contact points with obstructions. By focusing on these partial but critical measurements rather than complete cargo geometry, the system achieves high collision avoidance reliability while maintaining manageable calculation complexity
Solution Approach 2:
The system replaces complex mechanical measurement devices with time-of-flight optical/electromagnetic detection. This substitution enables accurate calculation of cargo dimensions and contact points through non-contact sensing, improving collision avoidance reliability while reducing the physical complexity of the detection hardware
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
Enhances vehicle maneuverability by accurately estimating potential contact points and adjusting steering and speed, reducing the risk of collisions with overhanging cargo and obstructions.
Implementation Method 1
at least one time-of-flight device configured to capture positional information about cargo in the vehicle and an obstruction outside the vehicle
Data Source
AI summary
A detection system for a vehicle includes at least one time-of-flight device configured to capture positional information about cargo in the vehicle and an obstruction outside the vehicle. Control circuitry is in communication with the at least one time-of-flight device. The control circuitry is configured to determine a location of the obstruction relative to a rear of the vehicle, calculate a length of at least one overhang of the cargo based on the positional information, estimate a lateral position of the at least one overhang based on the positional information, determine at least one endpoint of the cargo based on the lateral position and the length, determine at least one potential contact point between the cargo and the obstruction based on the location and the at least one endpoint, and generate an output based on the at least one potential contact point.