Works matching IS 16718860 AND DT 2024 AND VI 49 AND IP 4
Results: 17
SC-V2XSim: 车路协同环境下的高速公路 混合交通流联合仿真方.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 595, doi. 10.13203/j.whugis2023
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可学习深度位置编码引导的车前图像道路 可行驶区.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 594, doi. 10.13203/j.whugis20230252
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结合正态分布变换与线面 ICP 的弹性激光 SLAM 算法.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 672, doi. 10.13203/j.whugis20220766
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面向无人驾驶的高精地图公开应用趋势研究.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 537, doi. 10.13203/j.whugis20230338
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使用认知-实践模型的古地图信息本体建模: 以样式雷建筑图档为例.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 546, doi. 10.13203/j.whugis20220684
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高精地图的知识图谱表达.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 651, doi. 10.13203/j.whugis20230308
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自动驾驶高精地图的信息传输模型.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 527, doi. 10.13203/j.whugis20230135
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机器地图信息加工模型.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 516, doi. 10.13203/j.whugis20230319
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面向自动驾驶的高精地图模型及关键技术.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 506, doi. 10.13203/j.whugis20230227
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智能驾驶场景中高精地图动静态数据关联方法.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 640, doi. 10.13203/j.whugis20230224
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融合车载影像与点云的道路边界提取与矢量化.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 631, doi. 10.13203/j.whugis20230284
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智能驾驶高精地图发展与展望.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 491, doi. 10.13203/j.whugis20230287
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人类世地图：绘制人类世的地图.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 624, doi. 10.13203/j.whugis20230263
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自动驾驶高精地图信息交互方法.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 662, doi. 10.13203/j.whugis20230166
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-种融合局部异常因子的矢量建筑物群 聚类方法.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 562, doi. 10.13203/j.whugis20220688
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任务驱动视角下机器地图现状与发展.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 609, doi. 10.13203/j.whugis20220578
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膨胀区域匹配和自适应轨迹管理策略的多目标 跟踪方法.
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- Geomatics & Information Science of Wuhan University, 2024, v. 49, n. 4, p. 572, doi. 10.13203/j.whugis20230359
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