Automatic Parking System Sensor Fusion and Path Planning
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Solution Overview
Problem
Current automatic parking systems rely on drivers to determine parking conditions from displayed images, offering limited assistance in selecting optimal parking areas and adjusting vehicle spacing, which can lead to inconvenience, especially in tight spaces.
Innovation Solution
An automatic parking system utilizing a sensor system with cameras, Lidar, and radar to detect parking areas, calculate optimal parking paths, and control vehicle positioning, including steering, acceleration, braking, and gear shifting, to facilitate efficient and safe parking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a camera-based AVM system is used to display images around the vehicle, then the driver can see the surrounding environment, but the driver still needs to manually determine parking conditions and select parking areas without automated assistance
Solution Approach 1:
The system enables self-service by automatically detecting parking areas, calculating optimal parking paths, and controlling vehicle movement without requiring the driver to manually analyze images or make parking decisions. The controller autonomously processes sensor data and executes parking maneuvers
Solution Approach 2:
The patent replaces the manual mechanical process of visual assessment and manual steering with an automated sensor-based detection system and electronic control system. Cameras and sensors substitute for human visual analysis, while electronic controllers replace manual steering operations
2Productivity
If the driver manually determines parking conditions from displayed images, then the system structure remains simple, but the parking process becomes time-consuming and inconvenient
Solution Approach 1:
The system performs preliminary actions by pre-detecting parking areas, pre-calculating optimal parking paths, and pre-planning vehicle movement trajectories before the actual parking maneuver begins. This automation accelerates the overall parking process while managing system complexity through structured processing
3Ease of operation
If the vehicle is parked in tight spaces without automated spacing adjustment, then the parking area requirements are reduced, but the driver and passengers experience inconvenience when entering and exiting
Solution Approach 1:
The system uses feedback from sensors to detect the positions of surrounding vehicles and dynamically adjusts the parking path to maintain optimal spacing. The controller continuously monitors sensor data during the parking maneuver and makes real-time adjustments to ensure adequate entry and exit space
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 enables automatic parking by identifying optimal parking areas and adjusting vehicle spacing, reducing driver anxiety and improving convenience by providing real-time guidance and control during the parking process.
Implementation Method 1
a sensor system with cameras, Lidar, and radar to detect parking areas
Implementation Method 2
a sensor system with cameras, Lidar, and radar to detect parking areas
Data Source
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AI summary
An automatic parking system includes a sensor system measuring whether there is a parking section line and positions of surrounding vehicles, and a controller configured to analyze data sensed by the sensor system to calculate parking areas around a subject vehicle, calculate a range allowing generation of a moving path based on the parking areas, provide a moving path range for a parking type that is selected among the moving path ranges provided for the at least two parking types, and an optimal parking area for the selected moving path range, and automatically park the subject vehicle in the optimal parking area.