Vehicle Scene Control Using Projected Pattern Recognition
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Solution Overview
Problem
Traditional methods for identifying scene information using laser radar, ultrasonic sensors, and deep learning algorithms in vehicles are tedious and adversely affect the robustness and safety of vehicle control.
Innovation Solution
A method involving an image capturing device to collect images with projected patterns, acquire projection information, and determine image-altering information to control vehicle movement, enhancing scene identification and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional methods (laser radar, ultrasonic sensor, deep learning algorithm) are used for scene information identification, then the vehicle can perform perception and obstacle avoidance, but the process becomes tedious and robustness deteriorates
Solution Approach 1:
The patent extracts the core identification function from complex multi-sensor processing by using a projection pattern recognition approach. Instead of processing data from laser radar, ultrasonic sensors, and deep learning algorithms separately, the system projects a specific pattern onto the scene and identifies scene information by analyzing the reflected projection pattern, thereby simplifying the identification process while maintaining reliability
Solution Approach 2:
The patent uses a projection pattern as a simplified copy or representation of the scene structure. By projecting a known geometric pattern and analyzing its reflection or distortion, the system can infer scene information without needing to process complex raw sensor data from multiple sources, reducing computational complexity while preserving identification accuracy
2Reliability
If traditional identification methods are used, then scene information can be obtained, but the safety of vehicle operation is adversely affected
Solution Approach 1:
The patent performs preliminary action by projecting a structured pattern onto the scene before actual vehicle operation. This pre-established projection pattern serves as a reference framework that enables rapid identification of scene changes, allowing the vehicle to respond quickly to obstacles or environmental changes without time-consuming sensor processing
Solution Approach 2:
The patent utilizes optical property changes (analogous to color changes) by analyzing how the projection pattern is reflected, absorbed, or distorted by different scene elements. This optical-based identification method provides rapid feedback about scene composition and obstacles, enabling fast safety decisions without the time delay associated with traditional sensor fusion and deep learning processing
Data Source
AI summary
A method for controlling a vehicle is provided. The vehicle includes an image capturing device. The method includes: controlling the image capturing device to collect an image of a scene where the vehicle is located; acquiring projection information of a projection pattern in the image; determining image-altering information corresponding to the projection pattern according to the projection information; and controlling movement of the vehicle according to the image-altering information.