Swivel Laser Scanner Layout for Shadow-Free Parking Detection

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Solution Overview

Problem

Conventional object detection systems for large areas, such as parking lots, require frequent manual calibration and significant personnel and hardware deployment to ensure reliable detection of free capacities, leading to high costs.

Innovation Solution

An object detection system comprising a detection device with a fastening mechanism, swivel motor, swivel arm, and data acquisition unit, allowing 360° detection around a fastening object without casting shadows, using a 2D laser scanner for reliable detection in various conditions, and a data processing unit to calculate object positions and free areas, with information transmission to mobile units.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional monitoring systems only monitor entrances and exits, then the system is simple to operate, but the reliability of free capacity detection deteriorates over time without frequent manual calibration

Engineering Contradiction:
Improvefree capacity detection reliabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system performs self-calibration by automatically capturing images of the entire parking lot and processing them to determine the current number of parked vehicles, eliminating the need for manual calibration operations and maintaining reliable detection over extended periods

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent transitions from monitoring only entrances and exits (1D point monitoring) to capturing images of the entire parking lot area (2D area monitoring), enabling comprehensive detection of all parked vehicles and improving free capacity detection reliability

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If manual calibration with camera images is performed, then detection reliability is maintained, but personnel deployment and costs increase significantly

Engineering Contradiction:
Improvedetection reliabilityVSAvoidpersonnel deployment
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system automatically captures images and processes them through the calculation unit to determine the current number of parked vehicles, completely eliminating the need for manual calibration operations and reducing personnel deployment to zero for calibration tasks

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical calibration operations with an automated image capture and processing system using cameras and calculation units, substituting human labor with automated technological processes

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If data acquisition unit is placed at the top of the mast, then the system structure is simple, but shadow casting prevents optimal alignment and detection accuracy

Engineering Contradiction:
Improvedetection accuracyVSAvoidsystem structure
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system separates the data acquisition unit from the mast structure by mounting it on a movable platform that can be positioned at optimal locations, allowing the detection unit to be segmented from the support structure and placed where it can operate without shadow interference

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a movable platform that can dynamically adjust its position and orientation to optimize detection angles and avoid shadow casting, transforming the static mast-top mounting into a dynamic, adaptable positioning system

Inventive Principle:
Principle #15Dynamics

4Area of stationary object

If multiple data acquisition units are deployed for comprehensive coverage, then detection coverage is improved, but hardware costs and system complexity increase

Engineering Contradiction:
Improvedetection coverage areaVSAvoidhardware deployment
Core Design Contradiction:
Area of stationary objectVSDevice complexity

Solution Approach 1:

The patent uses a single data acquisition unit mounted on a movable platform that can rotate and reposition itself to scan and capture images of the entire parking lot area, replacing multiple static units with one dynamic unit that achieves comprehensive coverage through movement

Inventive Principle:
Principle #15Dynamics

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 system provides reliable, cost-effective, and shadow-free 360° detection of objects and free areas without manual calibration, enabling efficient monitoring of large spaces like parking lots, container handling areas, and ports, and informs users about current space availability.

Implementation Method 1

The data acquisition unit is designed as a 2D laser scanner

Methodology Applied
Scientific EffectTime of flight: Time of Flight

Data Source

PatentEP3444792B1System for detecting objects on surfaces, in particular parking areas
Publication Date: 2021.03.17 TELARTEC GMBH
  • EP3444792B1 patent drawingFigure 1~2
  • EP3444792B1 patent drawingFigure 3a~3b

AI summary

An object detection system is provided for detecting objects such as trucks, cars, buses, etc., in large areas such as parking lots. The system comprises a detection device with a mounting device for attaching the data acquisition unit to a mounting object, a swivel motor connected to the mounting device, a swivel arm coupled at one end to the swivel motor in such a way that the swivel arm can be pivoted about an axis of rotation by means of the swivel motor, a control unit for controlling the swivel motor, and a data acquisition unit (106) for capturing object information, the data acquisition unit being mounted on the swivel arm at a distance from the axis of rotation. Furthermore, the system includes a processing unit for calculating a 3D dataset from the data of the data acquisition unit and data relating to the movement of the swivel motor.