Remote 3D Visualization for Autonomous Vehicle Navigation
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Solution Overview
Problem
Existing systems for autonomous vehicles lack the capability for remote, dynamic visualization of navigation situations, with limitations in resolution, speed, and user interaction due to bandwidth constraints and computational requirements.
Innovation Solution
An autonomous driving computing device processes sensor data to render 3D images, converts them into a video stream, and transmits this stream via cellular communication to a remote user, allowing for manipulation of visualization parameters and selection of sensor data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If sensor data is transmitted via mobile communication to enable remote visualization, then the system provides remote access capability, but bandwidth limitations result in low resolution and low speed
Solution Approach 1:
The patent extracts only the essential visual information needed for remote monitoring by rendering sensor data into simplified 3D images and converting them to video streams, removing unnecessary data while preserving key visualization quality for remote users
Solution Approach 2:
Instead of transmitting raw sensor data and processing it remotely, the system inverts the approach by processing sensor data locally into 3D images and video streams at the autonomous vehicle, then transmitting only the processed visual output to remote users
2Measurement precision
If high-quality sensor data processing is performed to improve visualization quality, then resolution and speed improve, but computational requirements increase
Solution Approach 1:
The patent segments the computational workload by separating data processing functions from visualization functions, allowing the autonomous vehicle to process sensor data while a remote server handles the computationally intensive 3D rendering and video stream generation
Solution Approach 2:
The system introduces an intermediary processing layer that converts sensor data into 3D images and then into video streams, acting as a mediator between raw sensor data and remote visualization display to manage computational complexity
3Speed
If real-time processing is implemented to improve speed, then response time improves, but system complexity increases
Solution Approach 1:
The system performs preliminary processing of sensor data into standardized 3D image formats before transmission, preparing the data in advance for efficient real-time conversion into video streams and reducing latency during actual visualization
Data Source
AI summary
An autonomous vehicle is provided. The autonomous vehicle includes one or more sensors and an autonomous driving computing device. The autonomous driving computing device includes at least one processor in communication with at least one memory device. The at least one processor is programmed to process sensor data received from the one or more sensors, render the processed sensor data into 3D images, convert the 3D images into a video stream, and transmit, via mobile communication, the video stream to a remote user.