Projected Path Overlay for Faster Vehicle Teleoperation
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Solution Overview
Problem
Autonomous vehicles face challenges in navigating complex situations that require human oversight, as AI systems may struggle to assess and understand intentions of other road users, leading to potential delays in teleoperation due to the need for manual path planning and visualization.
Innovation Solution
A system that receives a video stream from a vehicle's camera, determines a projected path based on input such as steering angle and distance, and displays an overlay in the video stream using spatial and pixel coordinates, enabling faster and smoother teleoperation by allowing tele-operators to visualize and adjust the vehicle's path in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual path planning and visualization are used in teleoperation, then the tele-operator can control the vehicle, but delays occur due to the complexity of assessing road user intentions and manual path calculation
Solution Approach 1:
The system pre-calculates and displays multiple possible paths (e.g., left turn, right turn, straight) before the tele-operator makes a decision. This preliminary visualization of potential trajectories allows the operator to quickly assess options without manual calculation delays during critical moments
Solution Approach 2:
The system creates a visual copy of the projected vehicle paths overlaid on the video stream, showing virtual trajectories that mirror actual vehicle movement. This visual copying eliminates the need for the operator to mentally calculate paths, reducing cognitive load and decision time
2Measurement precision
If the system displays detailed path visualization with coordinate transformations, then path accuracy is improved, but system complexity increases
Solution Approach 1:
The system introduces an intermediary coordinate transformation layer that automatically converts between video stream coordinates and vehicle path coordinates. This intermediary processing layer handles the mathematical complexity of spatial transformations, preserving accuracy while shielding the operator from system complexity
Solution Approach 2:
The system replaces manual mechanical path calculation with automated computational coordinate transformations. The processor automatically performs the mathematical conversions between video coordinates and vehicle trajectory coordinates, eliminating manual calculation errors and reducing operational complexity
Data Source
AI summary
A system may receive a video stream from a camera of a vehicle in a transportation network. The system may also receive an input indicating a steering angle and/or a distance to travel. The system may determine a projected path of the vehicle in the transportation network based on the input. The projected path may be determined using spatial coordinates relative to the transportation network or the camera. The system may then determine, from the spatial coordinates, pixel coordinates in the video stream corresponding to the projected path. The system may display an overlay in the video stream based on the pixel coordinates. The overlay may include a visualization of the projected path.