Alpine Electronics of Silicon Valley, Inc. (20240227726). DETECTION OF UNSAFE CABIN CONDITIONS IN AUTONOMOUS VEHICLES simplified abstract
Contents
DETECTION OF UNSAFE CABIN CONDITIONS IN AUTONOMOUS VEHICLES
Organization Name
Alpine Electronics of Silicon Valley, Inc.
Inventor(s)
Rocky Chau-Hsiung Lin of Cupertino CA (US)
Thomas Yamasaki of Anaheim Hills CA (US)
Koichiro Kanda of San Jose CA (US)
DETECTION OF UNSAFE CABIN CONDITIONS IN AUTONOMOUS VEHICLES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240227726 titled 'DETECTION OF UNSAFE CABIN CONDITIONS IN AUTONOMOUS VEHICLES
Simplified Explanation: The patent application describes devices, systems, and processes for detecting unsafe cabin conditions in autonomous vehicles to enhance passenger safety. This includes capturing images of passengers, identifying unsafe activities, classifying them using a neural network, and taking responsive actions.
- Uses images to detect unsafe activities in the vehicle
- Utilizes a neural network for classification
- Enhances passenger safety in autonomous vehicles
Potential Applications: 1. Autonomous vehicles 2. Transportation industry 3. Passenger safety systems
Problems Solved: 1. Detection of unsafe cabin conditions 2. Enhancing passenger safety in autonomous vehicles
Benefits: 1. Improved passenger safety 2. Prevention of accidents 3. Enhanced monitoring of cabin conditions
Commercial Applications: Enhancing Passenger Safety in Autonomous Vehicles: Market Implications
Prior Art: Prior art related to this technology may include research on passenger safety systems in vehicles and image recognition technologies.
Frequently Updated Research: Stay updated on advancements in image recognition technology and neural networks for enhanced safety systems in autonomous vehicles.
Questions about Passenger Safety Systems in Autonomous Vehicles: 1. How does the use of image recognition technology improve passenger safety in autonomous vehicles? 2. What are the potential challenges in implementing neural networks for detecting unsafe activities in vehicle cabins?
Original Abstract Submitted
devices, systems and processes for the detection of unsafe cabin conditions that provides a safer passenger experience in autonomous vehicles are described. one example method for enhancing passenger safety includes capturing at least a set of images of one or more passengers in the vehicle, determining, based on the set of images, the occurrence of an unsafe activity in an interior of the vehicle, performing, using a neural network, a classification of the unsafe activity, and performing, based on the classification, one or more responsive actions.
