Vehicle Pushback Collision Avoidance via Predictive Camera Analytics
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Solution Overview
Problem
Current methods for preventing collisions during aircraft pushback operations in congested airport areas are inadequate, as they rely on manual monitoring and communication, which can lead to inefficiencies and potential collisions due to the complexity of managing multiple vehicles and obstacles.
Innovation Solution
A connected services platform that utilizes attachable cameras to establish a field of view video, predicts potential collisions by analyzing vehicle and geographic information, and generates graphical representations of impending collisions for user devices, enabling real-time collision avoidance through augmented or virtual reality displays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring and communication methods are used for collision prevention during pushback operations, then the system complexity remains low, but collision detection reliability deteriorates due to the congested environment and multiple vehicles
Solution Approach 1:
The system enables vehicles to autonomously detect and communicate their positions, speeds, and trajectories through onboard sensors and transmitters. Each vehicle serves its own monitoring needs while also contributing to the overall situational awareness, reducing the burden on manual monitoring while improving detection reliability.
Solution Approach 2:
The patent replaces manual mechanical monitoring and visual communication methods with an automated electronic system using sensors, transmitters, receivers, and processing units. This substitution enables continuous, objective data collection and collision prediction without human intervention in the detection process.
2Ease of operation
If real-time collision prediction and graphical notification systems are implemented, then collision avoidance capability improves, but device complexity and computational requirements increase
Solution Approach 1:
The system performs preliminary collision prediction calculations by analyzing current vehicle positions, speeds, and trajectories before actual collisions occur. The processing units continuously compute potential conflict situations and generate advance notifications, enabling operators to take preventive action before the collision risk becomes critical.
Solution Approach 2:
The patent introduces intermediary processing units and communication channels that mediate between raw sensor data and final collision notifications. These intermediaries process, filter, and interpret the data to produce meaningful collision predictions and graphical representations, reducing the complexity burden on individual components while maintaining high capability.
3Measurement precision
If multiple cameras and sensors are deployed to monitor the field of view, then measurement precision of vehicle positions and trajectories improves, but the quantity of equipment and data processing requirements increase
Solution Approach 1:
The patent merges data from multiple cameras and sensors into a unified positional and trajectory database. The processing units integrate information from various sources to create a cohesive picture of all vehicles and obstacles in the field of view, achieving high measurement precision while managing the complexity of multiple sensors through consolidation.
Solution Approach 2:
The sensors and cameras serve multiple functions: they monitor vehicle positions, detect obstacles, measure speeds, and provide data for collision prediction. This multi-functionality reduces the need for separate dedicated sensors for each measurement type, thereby reducing the overall quantity of equipment needed while maintaining comprehensive measurement capabilities.
Data Source
AI summary
Disclosed are systems, methods, and non-transitory computer-readable medium for vehicle collision notification and avoidance. One system may include attaching at least one camera to a vehicle, receiving vehicle information and geographic information regarding the vehicle and at least one other vehicle. The system may also include predicting a next position of the vehicle and the other vehicle, and determine whether the vehicle will collide with the other vehicle based on a comparison of the next position of the vehicle and the next position of the other vehicle. The system may also include generating a graphical representation of the collision of the vehicle and the other vehicle and may transmit the graphic representation to a user device.