Autonomous Vehicle Awareness Display With Smoothed Voxel Visualization
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Solution Overview
Problem
Autonomous vehicles' sensor data is often poorly formatted for visualization, leading to inaccuracies such as jittery representations and incorrect rendering of objects, which can confuse passengers about the vehicle's environmental awareness and safety.
Innovation Solution
A system that processes sensor data to create a low-fidelity, smoothed-out visualization of the vehicle's surroundings using a grid representation, adjusting shape attributes like size, color, and position to reflect object movement smoothly, and providing haptic or audio feedback when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-fidelity representation of autonomous vehicle sensor data is provided, then accuracy of environmental awareness is improved, but visualization stability deteriorates causing jitter and incorrect rendering
Solution Approach 1:
The patent introduces an intermediary processing layer between raw sensor data and visualization output. This layer applies smoothing algorithms and filtering techniques to intermediate data representations, reducing high-frequency noise and jitter while preserving essential environmental features. The intermediary processing enables stable visualizations without sacrificing critical accuracy.
Solution Approach 2:
The system dynamically adjusts visualization parameters such as smoothing intensity, filter thresholds, and rendering resolution based on environmental context and vehicle state. By changing these parameters adaptively, the system maintains measurement precision while ensuring visualization stability under different operating conditions.
2Loss of information
If raw sensor data is directly visualized, then data fidelity is improved, but human perception accuracy deteriorates causing confusion and panic
Solution Approach 1:
The patent creates simplified copies of raw sensor data tailored for human perception. Instead of directly displaying raw data points, the system generates intuitive visual representations such as smoothed object trajectories, standardized danger level indicators, and contextualized environmental maps. These copies preserve essential information while presenting it in a perceptually accurate manner.
Solution Approach 2:
The visualization system applies different processing qualities to different regions and types of data based on their importance and perceptual impact. Critical safety-related data receives enhanced processing and filtering, while less critical information maintains higher fidelity. This local quality adjustment optimizes both data fidelity and human perception accuracy.
Data Source
AI summary
The disclosed computer-implemented method may include displaying vehicle environment awareness. In some embodiments, a visualization system may display an abstract representation of a vehicle's physical environment via a mobile device and/or a device embedded in the vehicle. For example, the visualization may use a voxel grid to represent the environment and may alter characteristics of shapes in the grid to increase their visual prominence when the sensors of the vehicle detect that an object is occupying the space represented by the shapes. In some embodiments, the visualization may gradually increase and reduce the visual prominence of shapes in the grid to create a soothing wave effect. Various other methods, systems, and computer-readable media are also disclosed.