Vehicle Trajectory Control Using External Lane Maps
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Solution Overview
Problem
Conventional vehicle systems that determine trajectories and perform driving interventions struggle with availability and comfort, as they often fail to replicate human driving behavior and can be unnatural, especially when sensor data is inadequate or unprocessible.
Innovation Solution
A method where a vehicle system receives a lane map from an external computation device based on actual driving courses of other vehicles, using this data to determine trajectories and perform interventions that mimic human driving behavior, even in the absence of reliable sensor data, by selecting travel lanes that reflect common driving patterns and behaviors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle systems determine trajectory based on sensor data of the motor vehicle, then the system can operate autonomously, but the availability is dropped if the sensor device cannot detect lane markings with adequate certainty
Solution Approach 1:
The patent introduces cloud-based map data as an intermediary information source that mediates between the vehicle's sensor limitations and the trajectory determination requirement. When sensor data is insufficient, the system retrieves pre-acquired lane marking information from external servers, effectively bridging the gap without requiring additional onboard sensors.
Solution Approach 2:
The system performs preliminary acquisition of lane marking data by storing map information in advance on external servers before the vehicle reaches those locations. This pre-processing allows the vehicle to access trajectory information without relying on real-time sensor detection, thereby maintaining availability even when sensors fail.
2Ease of operation
If vehicle systems determine trajectory based on sensor data, then the system can provide driver assistance functions, but the steering movement is perceived as unnatural and less comfortable
Solution Approach 1:
The patent merges two trajectory determination approaches: sensor-based real-time detection and map-based pre-acquired information. By combining these sources, the system achieves both accurate trajectory following (from precise map data) and natural driving behavior (from sensor feedback), resolving the contradiction between comfort and precision.
Solution Approach 2:
The system uses partial sensor data in combination with complete map information rather than relying solely on sensor data. This partial use of sensors allows the system to maintain trajectory accuracy through map data while using sensor information only for adjustments that enhance natural driving feel, without requiring full sensor-based trajectory determination.
Data Source
AI summary
A method for operating a vehicle system of a motor vehicle is disclosed. The method is designed to determine a trajectory to be followed and/or to perform driving interventions, wherein a communication device on the vehicle system side receives, from a computation device external to the motor vehicle, a lane map describing travel lanes that are determined by the computation device from actual driving courses of other vehicles in the past and that relate to a region surrounding the motor vehicle, and a control device on the vehicle system side determines a trajectory to be followed by the motor vehicle and/or performs a transverse guiding intervention depending on the lane map.