Environmental Model Updating via Targeted Requests for Uncertain Objects
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Solution Overview
Problem
Autonomous driving vehicles face challenges in identifying and classifying objects, leading to uncertainties that require teleoperated driving support, with existing communication methods often overwhelming channels by sharing excessive data.
Innovation Solution
A method for updating an environmental model by assigning correctness probabilities to dynamic objects and transmitting specific requests for further information, reducing redundant data sharing through targeted broadcast messages that focus on objects with low confidence probabilities and potential path conflicts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data is shared between transportation vehicles to improve environmental model accuracy, then object classification accuracy is improved, but communication channel overload occurs
Solution Approach 1:
The patent extracts only the essential elements needed for environmental model updating from the complete sensor data. Instead of sharing all raw sensor data between vehicles, the system identifies and transmits only specific objects and parameters that require model updates, significantly reducing communication data volume while maintaining classification accuracy.
Solution Approach 2:
The patent applies local quality by making communication content specific and targeted rather than universal. Each vehicle receives customized environmental model updates based on its specific needs and uncertainties, rather than broadcasting all sensor data to all vehicles. This selective approach reduces overall communication load while improving relevant accuracy.
2Reliability
If complete environmental models are transmitted between vehicles to reduce uncertainties, then reliability is improved, but signaling overhead increases
Solution Approach 1:
The system extracts only the specific uncertain objects and their relevant parameters from the complete environmental model for transmission. Rather than transmitting entire environmental models between vehicles, only the minimal necessary information regarding objects with uncertainties is communicated, reducing signaling overhead while maintaining reliability.
Solution Approach 2:
The patent applies partial action by transmitting only the necessary portion of environmental model information - specifically, data about objects with uncertainties - rather than complete models. This partial transmission approach achieves sufficient reliability improvement without the excessive signaling overhead of full model sharing.
3Measurement precision
If all detected objects are shared to improve environmental model completeness, then measurement precision is improved, but communication efficiency deteriorates
Solution Approach 1:
The system extracts and transmits only the specific objects and parameters that contribute to environmental model completeness without redundancy. By identifying and communicating only relevant objects rather than all detected objects, the system maintains model completeness while significantly improving communication efficiency.
Solution Approach 2:
The patent applies local quality by making communication content targeted and specific to each vehicle's environmental model needs. Each vehicle receives customized information about specific objects relevant to its operational context, rather than universal broadcasts of all detected objects, thereby improving both completeness and efficiency.
Data Source
AI summary
Methods, computer programs, apparatuses, a transportation vehicle, and a traffic entity for updating an environmental model at a transportation vehicle. The method for a transportation vehicle and for updating an environmental model of the transportation vehicle includes obtaining an environmental model of the transportation vehicle, the environmental model having static and dynamic objects in the environment of the transportation vehicle along at least a part of the trajectory of the transportation vehicle; assigning information related to correctness probabilities at least to dynamic objects of the environmental model; determining at least one dynamic object for which the information related to the correctness probability indicates a correctness probability below a threshold; and transmitting a broadcast message to the environment to request further information on the at least one dynamic object.