AV Perception Adjustment for Obstacle Footprint Navigation

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Solution Overview

Problem

Autonomous vehicles (AVs) face challenges in navigating through environments with obstacles, as existing systems require human Remote Advisors to either ignore objects, which poses safety risks, or manually steer the AV, which is limited by bandwidth and contextual constraints.

Innovation Solution

The system provides additional options for the Remote Advisor to modify the perception of objects by adjusting the object's footprint or the AV's footprint, allowing the AV to autonomously navigate past obstacles while maintaining safety protocols.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If the Remote Advisor ignores the detected object, then the AV can proceed without manual intervention, but safety risks increase due to potential collisions

Engineering Contradiction:
Improvenavigation efficiencyVSAvoidsafety
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent introduces an intermediary system (the perception adjustment interface and footprint modification mechanism) between the Remote Advisor and the AV navigation system. This intermediary allows the Remote Advisor to subtly modify object footprints or AV footprints to guide the AV around obstacles without completely ignoring safety protocols, thus balancing productivity and reliability

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If the Remote Advisor manually steers the AV, then safety is maintained through direct control, but bandwidth limitations and contextual constraints reduce efficiency

Engineering Contradiction:
ImprovesafetyVSAvoidnavigation efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent enables the AV to serve itself by making autonomous navigation decisions based on modified perception data. The Remote Advisor only needs to provide high-level guidance through footprint adjustments rather than continuous manual steering, allowing the AV's autonomous systems to handle the actual navigation while maintaining safety through the Advisor's oversight

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system dynamically adjusts the level of human intervention based on the situation. The Remote Advisor can choose between subtle footprint modifications for routine obstacles and more direct intervention for complex scenarios, creating a flexible control system that optimizes both safety and efficiency

Inventive Principle:
Principle #15Dynamics

3Reliability

If the object footprint is enlarged to ensure safety, then collision risk is reduced, but the AV's ability to navigate through tight spaces decreases

Engineering Contradiction:
Improvecollision avoidanceVSAvoidnavigation flexibility
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent allows the Remote Advisor to apply different footprint adjustments to different parts of the navigation problem. Instead of uniformly enlarging all object footprints, the system can selectively modify specific footprint regions or apply different adjustment levels to different objects, preserving navigation flexibility while maintaining collision avoidance where needed

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS20250033675A1Perception assistance
Publication Date: 2025.01.30 GM CRUISE HOLDINGS LLC
  • US20250033675A1 patent drawing
  • US20250033675A1 patent drawing
  • US20250033675A1 patent drawing

AI summary

Aspects of the disclosed technology provide systems and methods that allow adjustment of a perception of an object by an autonomous vehicle (AV). The system includes a remote assistance platform (RAP) communicatively coupled to the AV. The RAP has a user interface that enables a human Remote Advisor to view an environment around the AV through a sensor system of the AV and issue instructions to the AV. The RAP is configured to allow the Remote Advisor to select an adjustment of the perception of the object by the AV and instruct the AV to implement the selected adjustment and then navigate autonomously.