Vehicle Parking Camera Yaw Angle Detection
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Solution Overview
Problem
Current automated parking systems for vehicles lack the ability to accurately detect and maneuver into parking spaces without driver input, as they struggle to determine the precise angle and distance to the target object within the parking space.
Innovation Solution
A vehicle equipped with a camera that detects a target object in a parking space and communicates with a controller to advance into the space based on the yaw angle and distance, using vector representations of the object's boundary, skew correction, and regression analysis to determine the optimal positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated parking systems use basic camera detection, then the system can detect target objects, but it cannot accurately determine the precise angle and distance to the target object
Solution Approach 1:
The patent transforms 2D camera image data into 3D spatial information by using perspective projection geometry. The system calculates real-world coordinates (X, Y, Z) from image coordinates (u, v) by incorporating camera intrinsic parameters (focal length, principal point) and extrinsic parameters (rotation, translation), thereby adding depth dimension to the detection accuracy without requiring additional 3D sensors
Solution Approach 2:
The patent introduces a coordinate transformation model as an intermediary between the camera detection system and the parking control system. This model acts as a mathematical bridge that converts simple 2D image coordinates into accurate 3D spatial parameters (distance and angle) through perspective projection equations, enabling precise measurement without direct 3D sensing hardware
2Extent of automation
If the vehicle uses manual controls for parking, then the driver has full control, but the parking process requires driver input and time
Solution Approach 1:
The patent implements a closed-loop feedback control system where the camera continuously monitors the target object's position and distance, the controller calculates the required steering and acceleration adjustments based on this feedback, and the actuators execute these adjustments. This real-time feedback mechanism enables fully automated parking by continuously correcting the vehicle's position until it achieves precise alignment with the parking space
Solution Approach 2:
The patent enables the vehicle to perform parking operations autonomously without driver intervention. The system uses self-contained sensors (camera), onboard processing (controller with coordinate transformation algorithms), and self-actuation (steering and acceleration controls) to complete the parking maneuver independently, making the vehicle serve itself in the parking function
Data Source
AI summary
A vehicle is provided. The vehicle includes a camera configured to detect a target object in a parking space and a controller programmed to advance the vehicle into the parking space based on a yaw angle of the vehicle and a distance to the target object in response to the camera detecting the presence of the target object. The distance to the target object is based on a vector representing a boundary of the target object.