NISSAN NORTH AMERICA, INC. (20240211046). Vision-Based Road Feel Enhancement in Vehicles simplified abstract
Contents
Vision-Based Road Feel Enhancement in Vehicles
Organization Name
Inventor(s)
Mark Bailey of Seattle WA (US)
Erik St. Gray of Tacoma WA (US)
Kevin Kochever of San Bruno CA (US)
Stefan Witwicki of San Carlos CA (US)
Vision-Based Road Feel Enhancement in Vehicles - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240211046 titled 'Vision-Based Road Feel Enhancement in Vehicles
Simplified Explanation: The patent application describes a system in a vehicle with a steer-by-wire system that uses cameras and a light detection and ranging (lidar) sensor to determine road surface conditions. Haptic vibrations are then generated based on this data to create a realistic road feel for the driver.
- The system utilizes image data from cameras and lidar sensors to determine road surface conditions.
- A generative adversarial network (GAN) machine learning model is used to analyze the data and determine the road surface.
- Haptic vibrations are generated based on the determined road surface to create a realistic road feel for the driver.
- Motors on various vehicle components are used to deliver these haptic vibrations.
- The system enhances the driving experience by providing accurate road feel feedback to the driver.
Potential Applications: 1. Automotive industry for enhancing driver experience and safety. 2. Autonomous vehicles for improving road surface detection capabilities. 3. Simulation and training systems for realistic driving experiences.
Problems Solved: 1. Providing accurate road feel feedback to drivers. 2. Enhancing driving experience and safety. 3. Improving road surface detection capabilities for autonomous vehicles.
Benefits: 1. Enhanced driver experience. 2. Improved safety on the road. 3. Accurate road surface detection for autonomous vehicles.
Commercial Applications: Enhancing Driver Experience and Safety with Advanced Road Feel Technology
Questions about Road Feel Technology: 1. How does the system determine road surface conditions? 2. What are the potential applications of this technology in the automotive industry?
Frequently Updated Research: Stay updated on advancements in haptic feedback technology for vehicles to enhance road feel capabilities.
Original Abstract Submitted
road feel is created in a vehicle that has a steer-by-wire system using image data obtained from one or more cameras on the vehicle and image data obtained from a light detection and ranging (lidar) sensor. a generative adversarial network (gan) machine learning (ml) model is used to determine a road surface based on the image data from the one or more cameras and the image data from the lidar sensor. haptic vibrations are generated based on the determined road surface to create the road feel using one or more motors on various vehicle components.
