Vehicle Teleoperation Virtual Environment for Network-Adaptive Sensing
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Solution Overview
Problem
Current remote vehicle operation systems require continuous user input, suffer from latency issues, and face challenges with variable network bandwidth, leading to operator distraction, misinterpretation, and delayed responses, especially in hazardous environments.
Innovation Solution
A vehicle control system that generates a virtual environment based on sensor and network conditions, modulating data transmission to include or exclude images and adjusting resolution according to environmental and network thresholds, ensuring timely and efficient data exchange between the vehicle and remote control station.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution video feeds are transmitted to allow accurate environment perception, then measurement precision is improved, but network bandwidth consumption increases and latency increases
Solution Approach 1:
The system dynamically changes the resolution parameter of video feeds based on network conditions and environmental factors. When network bandwidth is sufficient and environmental complexity is low, high-resolution video is transmitted for accurate perception. When latency becomes critical or bandwidth is limited, the system reduces video resolution to maintain timely data transmission while preserving essential environmental information.
2Reliability
If continuous user input is required for vehicle control, then reliability is improved, but ease of operation deteriorates due to operator distraction
Solution Approach 1:
The system implements autonomous monitoring and validation of user inputs. Sensors continuously detect environmental conditions and vehicle states, automatically validating whether user control inputs are appropriate and safe. The system can detect potential errors in user input and correct them autonomously or alert the operator, reducing the cognitive burden while maintaining safety through continuous environmental awareness and automated verification.
3Speed
If data transmission is optimized for speed to reduce latency, then speed is improved, but manufacturing precision deteriorates as data accuracy may be compromised
Solution Approach 1:
The data transmission system segments information into priority levels. Critical safety-related data (sensor readings, vehicle control signals) are transmitted with highest priority and integrity guarantees, while less critical data (high-resolution video, detailed environmental information) are transmitted at lower priorities with acceptable compression. This segmentation allows fast transmission of essential control data while maintaining accuracy where needed, and accepting reduced precision for non-critical data.
Data Source
AI summary
A system for generating a virtual environment for use in a vehicle remote teleoperation system including an environmental sensor for detecting an environmental condition proximate to the host vehicle, a sensor configured to generate a sensor data representative of an environment proximate to the host vehicle, a camera configured to capture an image data representative of the environment proximate to the host vehicle, and a processor configured to determine a network condition, generate a modulated data including the image data and the sensor data in response to the environmental condition being less than an environmental threshold value and the network condition exceeding a network threshold condition and to generate the modulated data without the image data in response to at least one of the environmental condition exceeding the threshold value and the network condition not exceeding the network threshold condition.