Vehicle Trajectory Prediction Using Multi-Assistant Data Fusion
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Solution Overview
Problem
Existing driver assistant systems face challenges in accurately predicting vehicle trajectories, especially for longer prediction times, leading to uncertainties that can result in incorrect path selection and potential collisions.
Innovation Solution
A prediction apparatus that integrates information from multiple vehicle sensors and driver assistant systems, such as adaptive cruise control and lane keeping assistants, to determine a more reliable predicted trajectory, incorporating both sensor data and planned trajectories to enhance collision avoidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If trajectory information from further driver assistant systems is used for prediction, then prediction reliability is improved, but system complexity increases due to integration requirements
Solution Approach 1:
The prediction apparatus merges trajectory information from multiple driver assistant systems (adaptive cruise control, lane keeping assistant, highway assistant) with sensor data from the safety system. This combination integrates existing mature systems to provide more reliable and continuous trajectory predictions, resolving the contradiction by achieving higher reliability through systematic integration.
Solution Approach 2:
The receiving unit is designed to accept trajectory information from various types of driver assistant systems, making the prediction apparatus universally compatible with multiple system architectures. This multi-functionality approach allows the system to leverage different assistant systems based on availability and reliability, improving overall prediction robustness while maintaining a unified interface.
2Measurement precision
If multiple driver assistant systems are integrated for trajectory prediction, then prediction accuracy is improved, but information processing requirements increase
Solution Approach 1:
Driver assistant systems continuously plan and provide trajectory information in advance, rather than calculating predictions only when hazard situations occur. This preliminary action ensures that trajectory data is already processed and available, reducing the computational burden on the safety system and improving prediction accuracy without proportionally increasing real-time processing requirements.
Solution Approach 2:
The system maintains continuous trajectory information flow from driver assistant systems, ensuring that prediction data is always available and up-to-date. This continuous provision of trajectory information eliminates gaps in data availability, improving prediction accuracy while allowing the system to efficiently manage processing loads through steady-state operation rather than intermittent high-intensity computation.
Data Source
AI summary
A prediction apparatus for predicting a predicted trajectory for a safety driver assistant system for a vehicle includes a receiving unit and a determination unit. The receiving unit is configured to receive at least one sensor information from at least one vehicle sensor of the vehicle and at least one trajectory information from at least one further driver assistant system of the vehicle. The determination unit is configured to determine the predicted trajectory for the vehicle using planned the trajectory information or the sensor information.