Lane Departure Detection via Vehicle Path Parallelism
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Solution Overview
Problem
In high-speed dynamic driving environments, vehicles may change lanes without drivers being aware of nearby vehicles, creating hazards, and actual lane usage can diverge from marked lanes due to road conditions, making it difficult to detect lane changes and road geometry without visual or camera-based systems.
Innovation Solution
A lane departure detection system using a computing device with processors to calculate path geometries of vehicles and evaluate parallelism between them, determining lane changes without relying on lane markers, and alerting drivers or adjusting vehicle routes accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If lane markers and visual systems are used to detect lane changes, then lane change detection accuracy is improved, but the system fails in conditions where lane markers are difficult to detect or absent
Solution Approach 1:
The patent introduces an intermediary approach by using the travel paths of surrounding vehicles as a mediator to infer lane geometry and detect lane changes. Instead of directly observing lane markers, the system tracks vehicle positions and uses path parallelism as an intermediate indicator of lane structure, enabling detection in conditions where traditional visual methods fail
Solution Approach 2:
The patent replaces the optical/mechanical system of camera-based lane marker detection with a computational system that analyzes vehicle trajectory data. By substituting direct visual observation with mathematical analysis of vehicle path geometries and parallelism, the system achieves lane change detection without relying on visible lane markers
2Loss of information
If camera systems are used to detect lane markers, then lane geometry can be determined, but the system becomes dependent on visual conditions and lane marker visibility
Solution Approach 1:
The system uses the vehicles themselves as the information source rather than external lane markers. By having vehicles essentially report their own positions and trajectories, which are then used to infer lane geometry, the system eliminates dependency on visual infrastructure while using readily available vehicle telemetry data
3Reliability
If traditional lane marker detection is used, then lane changes can be detected, but drivers remain unaware of lane changes by nearby vehicles creating hazards
Solution Approach 1:
The system implements feedback by continuously monitoring the relative positions and path geometries of multiple vehicles, detecting when a vehicle's path diverges from the established lane parallelism, and using this information to alert drivers of impending lane changes by nearby vehicles, thereby improving safety through timely warning
Data Source
AI summary
A lane departure detection computing device for a lane departure detection system is described. The computing device includes one or more processors for controlling operation of the computing device, and a memory for storing data and program instructions usable by the one or more processors. The one or more processors are configured to execute instructions stored in the memory to calculate a first path geometry relating to a first vehicle traveling in a first lane, calculate a second path geometry relating to a second vehicle traveling in a second lane different from the first lane, evaluate coextensive portions of the first path and the second path for parallelism, and, if the coextensive portions of the first path and the second path evaluated for parallelism are not parallel, determine that one of the first vehicle and the second vehicle is executing a lane departure.