Automated Vehicle Trajectory Selection Using Environmental Data
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Solution Overview
Problem
Existing methods for operating partly or highly automated vehicles do not effectively utilize environmental values to select optimal trajectories, leading to potential safety and accuracy issues in localization and navigation.
Innovation Solution
A method and apparatus that detect environmental values using sensors and maps to determine and select the most suitable trajectory for a vehicle, ensuring faster and more accurate localization by considering significant parameters such as the number and quality of environmental features along different paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple trajectories are determined for a partly or highly automated vehicle, then the selection of an optimal trajectory can be improved based on environmental values, but the complexity of the trajectory selection system increases
Solution Approach 1:
The system performs preliminary determination of multiple possible trajectories before final selection, using environmental values detected by sensors and map data to pre-evaluate potential paths. This allows the vehicle to have multiple candidate trajectories ready for comparison based on predefined criteria such as safety, efficiency, and localization accuracy, rather than selecting a single trajectory without充分的 environmental analysis
Solution Approach 2:
The system changes the parameter of trajectory selection from a single trajectory to multiple trajectories with different characteristics. Each trajectory is evaluated based on environmental values and predefined criteria, allowing the system to select the optimal trajectory by comparing multiple options with varying parameters such as path length, safety margin, and localization feature availability
2Measurement precision
If trajectory selection is based on environmental values and multiple criteria, then localization accuracy and speed are improved, but the computational requirements and processing time increase
Solution Approach 1:
The system performs preliminary analysis of environmental values along multiple trajectories before final selection. Sensors detect environmental features and map data provides pre-stored information about the environment, allowing the system to evaluate multiple trajectories in advance based on localization accuracy potential, so that when selection is needed, the evaluation is already substantially complete
Solution Approach 2:
The system determines multiple trajectories with varying degrees of detail and environmental analysis. Not all trajectories require the same level of environmental value analysis - some can be evaluated with partial environmental data while others require more complete analysis, allowing the system to balance computational effort with localization accuracy requirements
3Adaptability or versatility
If environmental values are detected using sensors and map data, then the quality of trajectory selection is improved, but the system complexity and data processing requirements increase
Solution Approach 1:
The system uses a multi-functional approach where sensors detect various environmental values (position, obstacles, road features) that serve multiple purposes: trajectory planning, safety assessment, and localization. Map data provides environmental information that is used across different trajectory evaluation criteria. This universal use of environmental values reduces the need for separate specialized systems for each function
Solution Approach 2:
The system introduces an intermediary processing layer that receives environmental values from sensors and map data, and translates them into trajectory evaluation criteria. This intermediary layer processes environmental information centrally and applies predefined criteria for trajectory selection, simplifying the overall system architecture by having a dedicated mediation layer rather than direct complex interactions between multiple subsystems
Data Source
AI summary
A method and an apparatus for operating at least one partly or highly automated vehicle, environmental values that represent the environment of the at least one partly or highly automated vehicle being detected by way of at least one environmental detection system of the at least one partly or highly automatic vehicle; operation of the partly or highly automated vehicle occurring depending on the detected environmental values, and at least two possible trajectories for operation of the at least one partly or highly automated vehicle being determined, of the at least two possible trajectories, one trajectory that is to be used being selected depending on the detected environmental values.