Map-Based Teleoperation for Autonomous Vehicle Hazard Rerouting
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Solution Overview
Problem
Autonomous vehicles face challenges in safely navigating through unpredictable events or road conditions, such as construction zones, weather conditions, or obstacles, where human intervention is necessary to ensure safety and avoid potential collisions.
Innovation Solution
A system and method for controlling autonomous vehicles through teleoperation, where a teleoperator's inputs modify the vehicle's trajectory by generating updated map data, allowing the vehicle to avoid or navigate through hazards, using a processor to determine a new trajectory based on real-time information and teleoperation inputs, such as steering, throttle, or brake commands, without direct control over the vehicle's steering or braking systems.
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 the autonomous vehicle's navigation system and the actual path following. When safety concerns are detected, the system modifies the map data to reflect alternative routes or trajectory adjustments, allowing the vehicle to maintain autonomous operation while incorporating safety-guided path modifications without direct human intervention in real-time control
Solution Approach 2:
The system performs preliminary safety assessments by evaluating upcoming events and road conditions before the vehicle reaches critical situations. Map data is pre-modified with alternative trajectories or route options based on predicted safety concerns, allowing the autonomous vehicle to proactively adjust its path before encountering hazardous conditions
2Reliability
If teleoperator intervention is introduced to improve safety in unpredictable conditions, then reliability is improved, but device complexity and loss of time increase
Solution Approach 1:
The patent creates a virtual copy of the road network and trajectory data in the form of map data structures. The teleoperator interacts with this digital representation rather than directly controlling the vehicle, allowing safety interventions to be planned and executed through map modifications that automatically translate to vehicle trajectory adjustments
Solution Approach 2:
Map data serves as an intermediary between the teleoperator and the autonomous vehicle control system. The teleoperator modifies map data to encode safety corrections or alternative routes, and the system automatically translates these map modifications into trajectory adjustments, eliminating the need for complex real-time teleoperation interfaces
3Reliability
If real-time teleoperation input is processed to modify trajectory, then safety is improved, but loss of time occurs during communication and processing
Solution Approach 1:
The system pre-processes teleoperation inputs by encoding them as map data modifications in advance. When safety concerns are identified, the teleoperator's intended corrections are already formulated as map trajectory adjustments, allowing the autonomous vehicle to immediately apply pre-calculated safe trajectories without real-time communication delays
Solution Approach 2:
The patent replaces real-time mechanical control signals with data-based map modifications. Instead of transmitting continuous control commands that require real-time processing and execution, the system transmits discrete map data updates that the autonomous vehicle independently processes and applies, significantly reducing communication and processing time
4Adaptability or versatility
If map data is continuously updated based on teleoperation input, then adaptability to new conditions is improved, but device complexity and use of energy increase
Solution Approach 1:
The patent implements local updates to map data rather than continuous full-map regeneration. When teleoperation inputs indicate safety concerns or new conditions, only the specific local portion of the map data affected by the intervention is modified and re-transmitted to the autonomous vehicle, maintaining adaptability while reducing processing complexity and energy consumption
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, at the autonomous vehicle, a teleoperation input from a teleoperation system through a communication link, wherein the teleoperation input comprises a modification to at least a portion of an existing trajectory of the autonomous vehicle; generating an updated map data based on the received teleoperation input from the teleoperation system, wherein the updated map data comprises the modification to the least the portion of the existing trajectory; determining a modified trajectory or a new trajectory for the autonomous vehicle based at least in part on the updated map data; and controlling the autonomous vehicle according to the modified trajectory or the new trajectory.