3D Perception Rendering for Human Verification in Autonomous Driving
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Solution Overview
Problem
Current autonomous vehicle perception systems face challenges in providing human-in-loop verification and certification, as they struggle to effectively generate and update real-time, human-perceptible three-dimensional renderings of the external environment based on sensor data.
Innovation Solution
A computing system that receives perception outputs from autonomous vehicles and generates human-perceptible, three-dimensional renderings of the external environment, which can be updated in real-time. This system includes modules for processing sensor data, generating feature representations of objects, and providing these renderings to output devices such as virtual reality headsets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time three-dimensional renderings are generated and updated based on sensor data, then human-in-loop verification capability is improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary rendering system that converts autonomous vehicle perception outputs into human-perceptible three-dimensional visual representations. This intermediary layer enables human verification without requiring direct access to raw sensor data or complex perception algorithms, thus improving verification capability while managing system complexity through abstraction.
Solution Approach 2:
The system creates a copy or representation of the external environment in three-dimensional space based on sensor data, allowing humans to verify perception accuracy by comparing the rendered environment with actual observations. This copying approach enables verification without requiring humans to directly interact with the complex sensor processing system.
2Measurement precision
If feature representations of multiple objects are generated with dynamic updates for moving objects, then perception accuracy is improved, but computational load increases
Solution Approach 1:
The patent implements dynamic feature representations that automatically adapt to object motion states. Moving objects receive continuous updates with changed positional and contextual features, while stationary objects maintain static representations. This dynamic approach improves perception accuracy for moving objects without uniformly increasing computational load across all objects.
Solution Approach 2:
The system applies different levels of feature representation detail and update frequency based on local characteristics of each object. Objects of interest or moving objects receive more detailed and frequently updated feature representations, while less critical stationary objects receive simpler representations, optimizing the balance between perception accuracy and computational load.
3Reliability
If three-dimensional renderings are updated in real-time during driving operations, then user verification effectiveness is improved, but processing time increases
Solution Approach 1:
The patent implements continuous real-time updating of three-dimensional renderings during driving operations, maintaining an ongoing visual representation that reflects current sensor data and object positions. This continuous updating enables users to perform verification activities throughout the driving process without interruption, improving verification effectiveness while distributing processing time across multiple smaller updates rather than requiring large batch processing.
Data Source
AI summary
A system can receive a perception output from an autonomous vehicle as the autonomous vehicle traverses a segment of a route. The perception output can be based on sensor data generated by a sensor suite of the autonomous vehicle. The system can generate, for an output device of a user, a human-perceptible three-dimensional rendering of an external environment of the vehicle based on the perception output. The human-perceptible three-dimensional rendering of the external environment can be as the user performs driving operations for the vehicle to traverse the segment of the route.