首页|基于包络曲线集自动驾驶汽车障碍物识别判据的量化

基于包络曲线集自动驾驶汽车障碍物识别判据的量化

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为了实现自动驾驶汽车障碍物识别判据的量化,提出一种基于椭圆包络曲线集自动驾驶汽车障碍物识别判据量化的方法.通过激光雷达完成障碍物点云信息的采集,采用坐标变换、XYZ三向平面切分、平面内椭圆曲线的建立及判据量化计算等一系列数学方法实现障碍物识别判据的量化,为自动驾驶汽车在行使过程中关于障碍物是否侵犯汽车驾驶安全空间提供了一种可量化的判断准则.
Quantization of obstacle recognition criterion for autonomous vehicle based on envelope curve set
In order to realize the quantification of obstacle recognition criteria for autonomous vehicles,this paper proposes a method for the quantification of obstacle recognition criteria for autonomous vehicles based on elliptic envelope curve sets.The collection of obstacle point cloud information is completed by lidar,and then a series of mathematical methods such as coordinate transformation,XYZ three-way plane segmenta-tion,establishment of elliptic curves in the plane,and criterion quantification calculation are used to realize the quantification of obstacle identification criteria.The autonomous vehicle provides a quantifiable criterion for determining whether obstacles infringe the safe driving space of the vehicle during the driving process.

automatic drivingellipticenvelopecriterionquantization

高少波、胡瑜、张笑

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之江实验室先进计算机研究中心,杭州 310000

中国科学院计算技术研究所,北京 100190

自动驾驶 椭圆 包络 判据 量化

之江实验室科研攻关项目

2022PC0AC01

2024

信息技术
黑龙江省信息技术学会 中国电子信息产业发展研究院 中国信息产业部电子信息中心

信息技术

CSTPCD
影响因子:0.413
ISSN:1009-2552
年,卷(期):2024.(3)
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