How Airbus is Optimizing Flight Paths with AI and Computer Vision
公司规模
Large Corporate
国家
- Worldwide
产品
- AirSense
- Appen AI Data Platform (ADAP)
技术栈
- AI
- Machine Learning
- Advanced Data Analytics
- Computer Vision
实施规模
- Pilot projects
影响指标
- Customer Satisfaction
- Innovation Output
- Productivity Improvements
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- 航天
- 运输
适用功能
- 物流运输
- 商业运营
用例
- 机器状态监测
- 远程资产管理
服务
- 数据科学服务
- 系统集成
- 培训
关于客户
Airbus is a global leader in the aerospace industry, renowned for designing, manufacturing, and delivering a wide range of innovative products, including commercial aircraft, helicopters, military transport, satellites, and space systems. The company is at the forefront of advancing aviation technology and sustainability, serving airlines and governments worldwide. Airbus' defense and space divisions play a vital role in driving innovation, continuously pushing the boundaries of aerospace technology by leveraging artificial intelligence (AI), machine learning, and advanced data analytics. With a commitment to enhancing operational efficiency and sustainability, Airbus is dedicated to optimizing flight planning and improving the accuracy of flight time forecasts through the use of AI-powered analytics.
挑战
Airbus faced the challenge of accurately annotating a vast dataset of historical flight paths to improve flight time predictions. Each flight path, represented by a sequence of GPS coordinates, required precise annotation to ensure the effectiveness of their predictive model, AirSense. The complexity of annotating these paths was heightened by variations in flight types, such as short-haul versus long-haul flights, and the unique complexities introduced by emergency or diverted routes. Additionally, factors like weather, air traffic, and unexpected deviations further complicated the annotation process. Airbus needed a scalable and accurate data annotation process to handle the volume of historical data, necessitating a highly skilled partner capable of maintaining exceptional quality standards.
解决方案
To address the challenge of annotating complex flight paths, Airbus partnered with Appen, leveraging their AI Data Platform (ADAP) to provide a comprehensive solution. Appen's platform offered the accuracy and speed required to efficiently annotate a large volume of flight path data. The collaboration began with Appen working closely with Airbus to understand the nuances of the flight path data and its annotation requirements. Appen's flexible annotation tools allowed for precise labeling of complex flight paths, even when routes varied due to factors like weather or air traffic conditions. The tailored solution ensured that Airbus received high-quality annotations necessary for their predictive models. A critical aspect of the project was the collaboration between Airbus and Appen’s on-site team of annotators. Airbus provided detailed training to the Appen annotators, offering video tutorials and continuous feedback. This training ensured that the annotation team understood the intricacies of flight path data, allowing them to handle the complexity of the task with high precision. The presence of on-site annotators enabled Airbus to review and refine the annotation work in real-time, facilitating continuous adjustments and maintaining high accuracy standards.
运营影响
数量效益
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