Central Lane Information Collection System for Vehicle Trajectory Aggregation
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Solution Overview
Problem
Existing methods for providing lane information to motor vehicles are often inaccurate and unavailable, especially in complex traffic conditions, leading to safety concerns due to incomplete or incorrect lane boundary detection.
Innovation Solution
A system where multiple motor vehicles transmit their driving trajectories to a central lane information collection device, which generates accurate lane information based on these trajectories and makes it available to other vehicles, enabling safer navigation through improved lateral guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If lane information is provided using existing video-based devices, then lane information can be obtained, but the information is often inaccurate and unavailable in complex traffic conditions
Solution Approach 1:
A central server acts as an intermediary to collect, process, and distribute lane information from multiple vehicles. The server aggregates trajectory data from numerous vehicles, processes it to generate accurate lane boundary information, and makes it available to all participating vehicles, thereby solving the availability and accuracy problems of individual video-based devices.
Solution Approach 2:
The system merges trajectory data from multiple vehicles into a unified lane information dataset. By combining observations from numerous vehicles traveling in the same lane, the system creates a more reliable and complete representation of lane boundaries than any single vehicle could obtain independently.
2Measurement precision
If lane information is collected from multiple vehicles and processed centrally, then lane information accuracy improves, but system complexity increases
Solution Approach 1:
The complex tasks of data collection, processing, and lane boundary detection are extracted from individual vehicles and relocated to a centralized server. Each vehicle only needs to transmit its trajectory data and receive processed lane information, while the server handles the computationally intensive tasks of aggregating data from multiple vehicles and generating accurate lane boundaries.
3Adaptability or versatility
If video-based lane detection is used, then lane information can be obtained, but it fails in complex traffic conditions such as roadworks or environmental influences
Solution Approach 1:
The system continuously collects and processes trajectory data from multiple vehicles in advance, building a comprehensive database of lane information that adapts to changing conditions. When a vehicle encounters complex conditions like roadworks, it can rely on pre-collected lane information from other vehicles that have already navigated those conditions, ensuring reliable guidance before the vehicle actually encounters the problem.
Data Source
AI summary
A trajectory of a motor vehicle relative to a vehicle-external reference system is determined during a movement of the motor vehicle along a track of the motor vehicle. The determined trajectory of the motor vehicle is transmitted to a vehicle-external central track information collection device, and track information is determined based on the transmitted trajectory by the track information collection device and provided to at least one additional motor vehicle.