Parking Corridor Virtual Walls for Overhang Collision Detection
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Solution Overview
Problem
Current methods for guiding motor vehicles within parking lots lack efficiency in detecting potential hazards and preventing collisions, particularly with objects projecting into the driving corridor, such as overhangs, which can lead to accidents.
Innovation Solution
The implementation of surroundings sensors with scanning planes that define virtual walls within the driving corridor, allowing for the detection of objects crossing these boundaries and generating control signals for automated lateral and longitudinal guidance to prevent collisions, including the use of radar, lidar, ultrasonic, video, magnetic field, or infrared sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional guidance methods are used in parking lots, then the system is simple to implement, but collision detection with objects like overhangs is insufficient leading to safety hazards
Solution Approach 1:
The detection space is segmented into multiple virtual walls perpendicular to the driving corridor, dividing the monitoring area into discrete zones. Each virtual wall acts as an independent detection plane, allowing the system to monitor different sections of the driving path separately. This segmentation enables comprehensive coverage of potential hazard zones while maintaining clear detection boundaries.
Solution Approach 2:
The system transitions from traditional 2D sensor planes to 3D virtual wall structures by extending detection planes perpendicular to the driving corridor. This dimensional extension creates volumetric detection zones that can identify objects protruding into the driving path from the sides, such as overhangs, providing depth-aware collision detection capability.
2Object-affected harmful factors
If virtual walls are introduced for hazard detection, then collision prevention improves, but the system complexity and computational requirements increase
Solution Approach 1:
Virtual walls serve as intermediary detection surfaces between the physical sensors and the actual hazards. Instead of directly detecting all possible collision objects, the system uses virtual walls as intermediate reference planes that simplify the detection process. Objects are detected by their interaction with these virtual boundaries, reducing the complexity of direct hazard identification.
Solution Approach 2:
The virtual walls are pre-defined and positioned in advance based on the driving corridor geometry and potential hazard zones. This preliminary setup allows the system to have detection planes ready before hazards occur, enabling immediate detection when objects cross these pre-established boundaries without requiring real-time complex calculations.
3Measurement precision
If multiple sensors with scanning planes are deployed, then detection coverage improves, but the cost and system complexity increase
Solution Approach 1:
Each surroundings sensor is designed to perform multiple functions: detecting objects at various distances, identifying hazards at different angles, and monitoring multiple virtual walls simultaneously. This multi-functionality reduces the need for separate specialized sensors for each detection task, thereby reducing overall system complexity while maintaining high detection precision.
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 solution enables efficient detection and prevention of collisions by automatically guiding vehicles back into their designated corridors, ensuring safe navigation within parking lots, even when objects like overhangs project into the driving path, thereby enhancing safety and reducing the risk of accidents.
Implementation Method 1
The at least one surroundings sensor is an element selected from the following group of surroundings sensors: radar sensor
Implementation Method 2
lidar sensor, in particular 2D lidar sensor
Implementation Method 3
ultrasonic sensor
Implementation Method 4
video sensor
Implementation Method 5
magnetic field sensor
Implementation Method 6
infrared sensor
Data Source
AI summary
A method for the at least partly automated guidance of a motor vehicle within a parking lot using at least one surroundings sensor arranged within the parking lot. Each surroundings sensor has a scanning plane which defines in each case a virtual wall of a driving corridor for the motor vehicle. The method includes: receiving measuring data signals which represent measuring data of the at least one surroundings sensor, determining, on the basis of the measuring data, whether an object has crossed the virtual wall, generating control signals for the at least partly automated control of a lateral and/or longitudinal guidance of the motor vehicle based on a result of the determination whether at least one object has crossed the virtual wall, and outputting the generated control signals. The invention further relates to a device, a system, a computer program and a machine-readable storage medium.