Autonomous Vehicle Teleoperation via Map-Based Trajectory Updates
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Solution Overview
Problem
Autonomous vehicles face challenges in safely navigating through unpredictable events or road conditions, such as construction zones or weather conditions, where direct human intervention is necessary to ensure safety and avoid obstacles.
Innovation Solution
A teleoperation system that receives sensor data from autonomous vehicles, transforms it into visualization data, generates updated map data to modify the vehicle's trajectory in response to events or conditions, and transmits teleoperation inputs, such as steering or throttle adjustments, to the vehicle to avoid obstacles or follow a new path, without direct human control of the vehicle's steering or braking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous vehicles operate in fully autonomous mode without human intervention, then productivity and efficiency are improved, but reliability and safety deteriorate when encountering unpredictable events or road conditions
Solution Approach 1:
The patent introduces map data as an intermediary layer between autonomous vehicle operation and human teleoperation intervention. The map contains pre-stored trajectory information that the vehicle follows autonomously, while teleoperators can intervene by updating map data when unpredictable events occur, thus maintaining autonomous operation while providing safety backup.
Solution Approach 2:
The system performs preliminary action by pre-storing map data including trajectory information before the vehicle encounters unpredictable events. This allows the autonomous vehicle to operate efficiently using pre-planned routes while having pre-established mechanisms for teleoperator intervention when safety concerns arise.
2Reliability
If teleoperators directly control vehicle steering and braking, then safety and obstacle avoidance are improved, but device complexity and loss of autonomous operation increase
Solution Approach 1:
The patent uses map data as an intermediary that teleoperators update rather than directly controlling vehicle systems. Teleoperators send teleoperation inputs that modify map trajectory data, which then guides the autonomous vehicle's planner. This reduces direct control complexity while maintaining safety through human-in-the-loop intervention.
Solution Approach 2:
The system replaces direct mechanical control (steering wheel, brake pedals) with electronic data transmission. Teleoperators provide teleoperation inputs that are transmitted as digital signals to update map data and trajectory information, substituting physical control mechanisms with electronic communication and software-based trajectory planning.
3Speed
If teleoperation inputs are transmitted in real-time, then responsiveness to events is improved, but loss of time for processing and communication increases
Solution Approach 1:
The system performs preliminary action by pre-storing comprehensive map data including multiple trajectory options and environmental information before events occur. When events happen, teleoperators can quickly select from pre-planned alternatives or make minimal adjustments to existing trajectories, reducing real-time processing requirements and communication delays.
Solution Approach 2:
The system dynamically adjusts the level of teleoperation intervention based on event severity. For minor events, the autonomous vehicle continues with minimal teleoperator input. For significant events, teleoperators provide updated trajectory commands. This dynamic approach optimizes response speed while minimizing unnecessary communication overhead.
Data Source
AI summary
This disclosure provides systems and methods for controlling a vehicle by teleoperations based on map creation. The method may include: receiving sensor data from one or more sensors on the autonomous vehicle through a communication link, wherein the sensor data comprises environmental data associated with a physical environment of the autonomous vehicle and operation data comprising an existing trajectory of the autonomous vehicle; transforming the sensor data into visualization data configured to represent the physical environment of the autonomous vehicle on a visualization interface; generating updated map data comprising a modification to the least the portion of the existing trajectory; and transmitting to the autonomous vehicle a teleoperation input comprising the updated map data.