VALEO VISION (20240273916). METHOD FOR DETECTING AN OBJECT IN A ROAD SURFACE, METHOD FOR AUTONOMOUS DRIVING AND AUTOMOTIVE LIGHTING DEVICE simplified abstract
METHOD FOR DETECTING AN OBJECT IN A ROAD SURFACE, METHOD FOR AUTONOMOUS DRIVING AND AUTOMOTIVE LIGHTING DEVICE
Organization Name
Inventor(s)
Mickael Mimoun of Bobigny (FR)
METHOD FOR DETECTING AN OBJECT IN A ROAD SURFACE, METHOD FOR AUTONOMOUS DRIVING AND AUTOMOTIVE LIGHTING DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240273916 titled 'METHOD FOR DETECTING AN OBJECT IN A ROAD SURFACE, METHOD FOR AUTONOMOUS DRIVING AND AUTOMOTIVE LIGHTING DEVICE
The abstract describes a method for detecting objects on a road surface using a defined light pattern and image acquisition.
- Defining a light pattern with dark and lighted groups of square pixels
- Projecting the light pattern onto a road surface
- Acquiring an image of the projected light pattern
- Comparing the shape and position of pixel groups in the acquired image with the defined light pattern
- Inferring features of an object based on the comparison
Potential Applications: - Object detection in autonomous driving systems - Enhanced automotive lighting devices for improved safety
Problems Solved: - Efficient and accurate object detection on road surfaces - Enhancing the capabilities of autonomous driving systems
Benefits: - Improved road safety - Enhanced object detection capabilities - Increased efficiency in autonomous driving systems
Commercial Applications: Title: "Advanced Object Detection System for Autonomous Vehicles" This technology can be used in the automotive industry for developing advanced object detection systems for autonomous vehicles, improving road safety and driving efficiency.
Questions about the technology: 1. How does this method improve object detection compared to existing technologies? - This method enhances object detection by using a defined light pattern and image comparison to accurately identify objects on road surfaces. 2. What are the potential limitations of this technology in real-world driving scenarios? - The technology may face challenges in adverse weather conditions or low visibility situations.
Original Abstract Submitted
a method for detecting an object in a road surface. the method includes defining a light pattern including dark and lighted groups of square pixels, projecting the light pattern on a road surface, acquiring an image of the projected light pattern, comparing the shape and position of some groups of square pixels in the acquired image with respect of the defined light pattern, and using the comparison to infer features of an object. the invention also provides a method for autonomous driving using this object detection and an automotive lighting device.
