An overview of the
This lecture will be from the sensor fusion and target tracking, according to the purpose and principle of by MATLAB and the simulation algorithm, and finally the algorithm to deploy on an unmanned aerial vehicle (uav) platform for testing.We will automatically generate the C code, realizes the unmanned aerial vehicle (uav) precise positioning and continuous tracking of obstacles.
This lecture includes the following:
- Used to locate and environmental perception fusion and tracking algorithm
- The deployment of the algorithm in embedded hardware
Background knowledge:
Engineers engaged in the development of autonomous system perception part need to merge from the input of each sensor, to estimate the object position of around these systems.MathWorks公司于2018年推出了 Sensor Fusion and Tracking Toolbox，该工具箱为在航天和国防、汽车、消费类电子及其他行业开发自主系统的工程师提供算法和工具，来保持位置、方向和态势感知。科研人员、开发者和兴趣爱好者可以使用该工具箱内的定位与跟踪算法以及参考示例，作为实施机载、陆基、舰载、水下监视、导航和自主系统的组件设计的起点。该工具箱提供一种灵活的可复用的环境，让开发人员实现共享，并且具备模拟传感器检测、执行定位、测试传感器融合架构和评估跟踪结果的功能。
About the presenter
Wang Hongjun, MathWorks China senior application engineer, mainly responsible for autonomous systems and automated driving direction, support the development of perception, planning, control and so on application and the realization of the workflow model based design.Who have served in the Air China send commercial aviation engine company and an intelligent unmanned aerial vehicle (uav) start-ups.Graduated from tsinghua university department of precision instrument, professional direction for automatic control.
