Remote Assistance Trajectory UI for Autonomous Vehicle Obstacles
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Solution Overview
Problem
Autonomous and semi-autonomous vehicles may encounter obstacles such as construction sites, poorly marked roadways, or stranded vehicles, which can limit their navigation capabilities, and existing systems lack effective remote assistance mechanisms to guide them through such situations.
Innovation Solution
A computing device positioned remotely from the vehicle receives sensor data to display a representation of the vehicle's forward path, augments it with proposed trajectories relative to road boundaries, and provides navigation instructions based on selected trajectories, allowing human operators to assist the vehicle in overcoming obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles navigate independently without remote assistance, then automation level is improved, but ability to handle complex obstacles and dynamic environments deteriorates
Solution Approach 1:
A remote computing device acts as an intermediary between the autonomous vehicle and human operators. The device receives sensor data from the vehicle, processes it to identify obstacles and generate proposed trajectories, then presents these options to a human operator who selects the best course of action. This intermediary system enables the vehicle to handle complex situations that exceed its autonomous capabilities while maintaining high-level automation.
2Adaptability or versatility
If remote assistance is implemented with full manual control, then adaptability to complex situations is improved, but response time and latency increase
Solution Approach 1:
The remote computing device performs preliminary actions by continuously monitoring sensor data, pre-identifying potential obstacles, and generating multiple proposed trajectories in advance before a human operator needs to make a decision. This preparation work reduces the time required for human intervention when actual obstacles are encountered.
Solution Approach 2:
The system implements feedback by continuously providing the human operator with visual representations of the vehicle's forward path, detected obstacles, and multiple proposed trajectories with their respective advantages. This informative feedback enables the operator to make informed decisions quickly without requiring extensive analysis or clarification.
3Adaptability or versatility
If multiple proposed trajectories are presented to the operator, then navigation flexibility is improved, but information processing complexity increases
Solution Approach 1:
The complex navigation decision is segmented into multiple discrete trajectory options, each clearly labeled and described with its specific advantages. Instead of presenting a continuous range of possibilities, the system divides the solution space into distinct, manageable choices that the human operator can evaluate and select from.
Solution Approach 2:
Each proposed trajectory is enhanced with localized, specific information about its advantages and characteristics. Rather than providing generic trajectory data, the system adds quality details such as 'avoids construction zone,' 'shortest path,' or 'safest route' to help the operator understand the specific benefits of each option in the current context.
Data Source
AI summary
Example embodiments relate to user interface techniques for recommending remote assistance actions. A remote computing device may display a representation of the forward path for an autonomous vehicle based on sensor data received from the vehicle. The computing device may augment the representation of the forward path to further depict one or more proposed trajectories available for the autonomous vehicle to perform. Each proposed trajectory conveys one or more maneuvers positioned relative to road boundaries in the forward path. The computing device may receive a selection of a proposed trajectory from the one or more proposed trajectories available for the autonomous vehicle to perform and provide navigation instructions to the vehicle based on the proposed trajectory.