Waymo llc (20240302838). Use of Detected Objects for Image Processing simplified abstract
Contents
Use of Detected Objects for Image Processing
Organization Name
Inventor(s)
David Ian Ferguson of Mountain View CA (US)
Abhijit Ogale of Mountain View CA (US)
Use of Detected Objects for Image Processing - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240302838 titled 'Use of Detected Objects for Image Processing
- Simplified Explanation:**
The patent application describes methods and systems for using detected objects in image processing for autonomous vehicle control. The computing device receives images of the vehicle's surroundings and information about objects in the images from various sources to determine object locations and control strategies.
- Key Features and Innovation:**
- Computing device autonomously controls a vehicle using detected objects in images.
- Information about object characteristics is received from sources like radar, lidar, sensors, and GPS.
- Object locations in images are determined using this information.
- Control strategies are based on specific portions of the image identified by the computing device.
- Potential Applications:**
This technology can be applied in autonomous vehicles, robotics, surveillance systems, and smart city infrastructure.
- Problems Solved:**
The technology addresses the challenges of accurately detecting and processing objects in real-time to enable safe and efficient autonomous vehicle control.
- Benefits:**
- Improved object detection and localization for enhanced safety.
- Efficient control strategies based on real-time image processing.
- Enhanced autonomous vehicle performance and reliability.
- Commercial Applications:**
Title: Autonomous Vehicle Control System Using Detected Objects This technology can be utilized in the automotive industry for self-driving cars, logistics companies for autonomous delivery vehicles, and smart city initiatives for traffic management systems.
- Prior Art:**
Prior art related to this technology may include research papers, patents, and publications in the fields of computer vision, autonomous vehicles, and image processing.
- Frequently Updated Research:**
Researchers are continuously exploring advancements in object detection algorithms, sensor technologies, and image processing techniques to enhance the capabilities of autonomous vehicle control systems.
- Questions about Autonomous Vehicle Control Using Detected Objects:**
1. How does this technology improve the safety and efficiency of autonomous vehicles? 2. What are the key sources of information used to determine object characteristics in the images?
Original Abstract Submitted
methods and systems for the use of detected objects for image processing are described. a computing device autonomously controlling a vehicle may receive images of the environment surrounding the vehicle from an image-capture device coupled to the vehicle. in order to process the images, the computing device may receive information indicating characteristics of objects in the images from one or more sources coupled to the vehicle. examples of sources may include radar, lidar, a map, sensors, a global positioning system (gps), or other cameras. the computing device may use the information indicating characteristics of the objects to process received images, including determining the approximate locations of objects within the images. further, while processing the image, the computing device may use information from sources to determine portions of the image to focus upon that may allow the computing device to determine a control strategy based on portions of the image.
