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分体式飞行汽车立体环境感知系统设计及试验研究

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飞行汽车能够根据道路与天气情况在地面行驶和空中飞行两种模式之间进行切换,对提升交通效率、适应复杂地形及降低交通设施成本具有重要意义.分体式飞行汽车由电动垂直起降飞行器、智能操控座舱和自动驾驶底盘三个独立模块构成,具备地面无人行驶与空中自主飞行两种模式.首先,基于分体式飞行汽车自动驾驶、多模块自主对接引导等功能任务需求,提出立体环境感知系统传感器配置与部署方案并标定了传感器.其次,设计多传感器融合环境感知算法,实现目标检测、可行驶区域分割及多模块自主对接定位.最后,在分体式飞行汽车高性能边缘计算设备进行实车验证.试验表明该感知系统能取得高效的环境感知效果,为分体式飞行汽车的自动驾驶及自主对接引导提供新思路.
Design and Experiment Research of 3D Environmental Perception System for Split-type Flying Vehicle
Flying vehicles can switch between ground-driving and air-flying modes according to road and weather conditions,which is of great significance for improving traffic efficiency,adapting to complex terrain,and reducing the cost of transportation facilities.The split-type flying vehicle is composed of three independent modules:an electric vertical take-off and landing aircraft,an intelligent control cockpit,and an autopilot chassis.It has two functions,unmanned driving on the ground and autonomous flight in the air.First of all,based on task requirements,such as automatic driving and multi-module autonomous docking guidance,the sensor configuration and deployment scheme of the 3D environmental perception system is proposed and the sensors are calibrated.Secondly,a multi-sensor fusion environment perception algorithm is designed to realize object detection,drivable area segmentation,and multi-module autonomous docking and positioning.Finally,the real-world verification is carried out on the high-performance edge computing equipment of the split-type flying vehicle.The experimental results show that the perception system can achieve an effective environmental perception effect,which provides a new solution for the automatic driving and autonomous docking guidance of split-type flying vehicles.

split-type flying vehicleenvironmental perceptionsensor calibration and algorithm testing

李颖、王荣煊、万成麟、王伟达、杨超、徐彬

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北京理工大学机械与车辆学院 北京 100081

北京理工大学重庆创新中心 重庆 401120

分体式飞行汽车 环境感知 传感器标定与算法测试

国家自然科学基金国家自然科学基金国家自然科学基金重庆市自然科学基金

521024495227504751975048cstc2021jcyjmsxmX0879

2024

机械工程学报
中国机械工程学会

机械工程学报

CSTPCD北大核心
影响因子:1.362
ISSN:0577-6686
年,卷(期):2024.60(10)