18508904. OBJECT RECOGNITION APPARATUS FOR AN AUTONOMOUS VEHICLE AND AN OBJECT RECOGNITION METHOD THEREFOR simplified abstract (Hyundai Motor Company)
Contents
OBJECT RECOGNITION APPARATUS FOR AN AUTONOMOUS VEHICLE AND AN OBJECT RECOGNITION METHOD THEREFOR
Organization Name
Inventor(s)
OBJECT RECOGNITION APPARATUS FOR AN AUTONOMOUS VEHICLE AND AN OBJECT RECOGNITION METHOD THEREFOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 18508904 titled 'OBJECT RECOGNITION APPARATUS FOR AN AUTONOMOUS VEHICLE AND AN OBJECT RECOGNITION METHOD THEREFOR
Simplified Explanation: The object recognition apparatus for an autonomous vehicle involves training network models, correcting image distortions, and fine-tuning a second network model.
Key Features and Innovation:
- Processor trains a first network model based on an image.
- Corrects distortion and rotation of the image.
- Generates distorted images for training.
- Trains a feature transfer module based on extracted features.
- Inserts the feature transfer module into the first network model.
- Performs fine-tuning for a second network model.
Potential Applications: This technology can be applied in autonomous vehicles, robotics, surveillance systems, and industrial automation for object recognition and identification tasks.
Problems Solved: This technology addresses the challenges of accurate object recognition in varying conditions, such as image distortion and rotation, improving the overall performance of autonomous systems.
Benefits: The benefits of this technology include enhanced object recognition accuracy, improved efficiency in autonomous operations, and increased reliability in identifying objects in complex environments.
Commercial Applications: The commercial applications of this technology include autonomous vehicles, security systems, manufacturing processes, and smart infrastructure development, catering to industries focused on automation and efficiency.
Prior Art: For prior art related to this technology, researchers can explore patents and publications in the fields of computer vision, machine learning, and autonomous systems to understand the evolution of object recognition technologies.
Frequently Updated Research: Researchers can stay updated on advancements in object recognition, deep learning models, and feature extraction techniques to enhance the performance and capabilities of autonomous systems.
Questions about Object Recognition Technology: 1. What are the key challenges in object recognition for autonomous vehicles? 2. How does the feature transfer module improve the performance of network models in object recognition tasks?
Original Abstract Submitted
An object recognition apparatus and method for an autonomous vehicle are disclosed. The object recognition apparatus includes a processor and storage. The processor: trains a first network model based on an image; corrects distortion and rotation of the image; generates at least one distorted image based on the corrected image; trains a feature transfer module based on a feature extracted from the corrected image and a feature extracted from the at least one distorted image; inserts the feature transfer module into the first network model; and performs fine-tuning for a second network model including the feature transfer module based on the at least one distorted image.
