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Updated: Jun 4, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

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通过基于YOLO的潜在动态物体移除来增强自动驾驶中的LiDAR映射.

Seonghark Jeong1, Heeseok Shin2, Myeong-Jun Kim3

  • 1Propulsion Division, GM Korea Company, Incheon 21344, Republic of Korea.

Sensors (Basel, Switzerland)
|December 17, 2024
PubMed
概括

这项研究引入了使用YOLOv4来移除动态物体的增强型LiDAR绘图和定位系统,提高了GPS拒绝的城市地区的准确性. 视觉+LiDAR+NDT方法显著减少了定位错误,提高了自主导航的可靠性.

关键词:
深度实验室V3+李达尔 (LiDAR) 是一种激光雷达.没有NDT的NDT.这是YOLOv4的.自动驾驶汽车是一种自动驾驶汽车.在本地化,本地化.地图匹配对应的地图匹配语义细分 语义细分 语义细分 语义细分融合传感器 融合传感器 融合传感器

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