Parking Pilot System with Visual Guidance Tracks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current parking pilot systems are inefficient for inexperienced drivers, as they require manual positioning and limited detection range, leading to time-consuming searches and potential collisions, especially in crowded areas.
Innovation Solution
A parking pilot system with a display, image sensors, speed sensors, and an electronic control unit that automatically determines an initial parking position and provides clear forward or backward pilot tracks, allowing drivers to park directly without relying on experience or wasting time on incorrect estimations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a driver manually positions the vehicle using traditional parking assistance systems, then the system can provide basic distance feedback, but the driver must move the vehicle to and fro to find the correct initial position, which is time-consuming and reduces efficiency
Solution Approach 1:
The system performs preliminary action by automatically calculating and marking the initial parking position on the display before the driver needs to execute the parking maneuver. The processor determines the optimal starting position and displays it with visual guidance, so the driver does not need to manually search for the correct position through trial and error movements.
Solution Approach 2:
The system introduces an intermediary visual display that shows a marked initial position and pilot track between the driver and the physical parking space. This intermediary guidance layer translates complex spatial relationships into simple visual cues, enabling the driver to directly position the vehicle without manual trial-and-error adjustments.
2Measurement precision
If the detection range of the distance sensor is limited, then the system structure remains simple, but the driver cannot accurately determine whether the parking area is sufficient or avoid collisions with adjacent barriers
Solution Approach 1:
The system transitions from one-dimensional distance sensing to two-dimensional visual field analysis by using image sensors to capture the entire parking environment. The processor analyzes the captured images to determine parking space dimensions, vehicle position, and potential obstacles, providing comprehensive spatial awareness that extends far beyond the limited range of traditional distance sensors.
Solution Approach 2:
The system creates a visual copy of the parking environment through image sensors and displays it on the monitor. This visual replica allows the driver to see the complete parking space, adjacent barriers, and recommended parking position without physical proximity, effectively extending the detection range without adding physical sensors throughout the area.
3Adaptability or versatility
If the system provides only basic distance feedback through audio alerts, then the system remains simple, but inexperienced drivers cannot determine whether the parking area is sufficient to accommodate their vehicle
Solution Approach 1:
The system performs preliminary evaluation of the parking space by analyzing captured images to determine if the space is sufficient for the vehicle. The processor calculates whether the detected parking area can accommodate the vehicle based on its dimensions, and this pre-evaluation is displayed to the driver before the parking maneuver begins, eliminating the need for drivers to make subjective judgments.
Solution Approach 2:
The system provides comprehensive visual feedback showing the detected parking space boundaries, the vehicle's current position relative to the space, and the recommended pilot track. This feedback loop continuously updates the driver with spatial information, enabling both inexperienced and experienced drivers to make informed decisions about the parking maneuver.
4Productivity
If drivers rely on experience and manual estimation to park, then no additional system is needed, but time is wasted on trial-and-error movements and collisions may occur in crowded areas
Solution Approach 1:
The system performs preliminary calculations to determine the optimal pilot track and initial position before the driver begins the parking maneuver. By pre-computing the guidance path based on the detected parking space and vehicle position, the system enables drivers to execute the parking move directly without trial-and-error adjustments, significantly improving parking speed and reliability.
Solution Approach 2:
The visual display acts as an intermediary that provides a clear pilot track overlaying the captured image, showing the exact path the driver should follow. This visual mediator translates complex spatial calculations into simple directional guidance, reducing collision risk by providing precise trajectory information that compensates for varying driver skill levels.
Data Source
AI summary
The present invention discloses a parking pilot system and method. The system of the present invention comprises a display, at least one image sensor, at least one speed sensor and an ECU. The ECU uses the images captured by the image sensor to calculate an intended parking position and uses the captured images and the detected speed to work out the coordinates of the current position and the intended parking position. The ECU also works out an initial parking position. According to the adopted parking mode, the ECU presents on the display a forward pilot track extending from the current position through the initial parking position to the intended parking position, or a forward pilot track extending from the current position to the initial parking position. Then, the driver can easily park his vehicle and effectively avoid collision via the pilot instructions presented on the display.