Autonomous Parking Collision Avoidance via Sensor Fusion
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Solution Overview
Problem
Current autonomous parking methods fail to ensure safe and efficient vehicle movement without driver intervention, particularly in areas with diverse vehicle types, where collisions can occur and are not adequately documented.
Innovation Solution
A method utilizing on-board sensors and an external control device to detect collisions, evaluate sensor data, and trigger situation-dependent actions, including warning signals and vehicle control, to prevent accidents and document incidents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If driverless vehicle movement is implemented in parking areas, then productivity and space utilization are improved, but safety and collision risk management deteriorate
Solution Approach 1:
The system performs preliminary detection of other vehicles and obstacles using sensors before the driverless vehicle moves, and determines collision-free movement paths in advance. The external control device receives sensor data, evaluates potential collisions, and plans safe trajectories before execution, preventing collisions rather than just reacting to them.
Solution Approach 2:
The system continuously monitors the environment during driverless movement using sensors that detect other vehicles and obstacles. The external control device receives real-time sensor data, evaluates current positions and potential collisions, and adjusts the movement path dynamically. This closed-loop feedback ensures safety while maintaining productivity.
2Measurement precision
If driver assistance sensors are used for collision detection, then measurement capability is improved, but device complexity increases
Solution Approach 1:
The system uses driver assistance sensors (ultrasonic, radar, camera) that serve dual purposes: their primary function for driver support and an additional function for collision detection in driverless operation. This multi-functionality improves measurement precision without adding dedicated sensors, thereby avoiding increased device complexity.
Solution Approach 2:
The existing sensor system on the vehicle, originally designed for driver assistance, is repurposed to perform collision detection for driverless operation. The sensors serve themselves by providing data for both driver support and autonomous navigation, eliminating the need for separate detection systems and reducing overall complexity.
3Ease of operation
If external control device is arranged on or near parking area, then control accessibility is improved, but system complexity increases
Solution Approach 1:
The external control device serves as an intermediary between the vehicle's sensor system and the central parking management system. It receives sensor data from the vehicle, evaluates collision risks, determines safe movement paths, and sends control commands. This intermediary architecture improves control accessibility while distributing complexity across multiple components rather than concentrating it in one complex 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
Enhances safety by preventing collisions and efficiently utilizing parking space through autonomous vehicle movement, while ensuring comprehensive documentation of incidents.
Implementation Method 1
Examples of such sensors are an ultrasonic sensor, a laser sensor, a radar sensor, time-of-flight optical sensors (PMD), a camera for recording video sequences with appropriate evaluation algorithms
Data Source
Figure 1~2
AI summary
Method for driverless movement of a vehicle in a parking area, with an external control device that allows access to the vehicle to control it to or from an assigned parking space in the parking area, comprising the following steps: - detecting an impending or actual collision with another moving or parked vehicle by means of at least one sensor of the vehicle controlled by the external control device; - evaluating sensor data in an evaluation unit; - making a situation-dependent behavioral decision by the control device.