LIDAR-BASED SHIPBOARD TRACKING AND STATE ESTIMATION FOR AUTONOMOUS LANDING
    3.
    发明申请
    LIDAR-BASED SHIPBOARD TRACKING AND STATE ESTIMATION FOR AUTONOMOUS LANDING 有权
    基于激光雷达的船舶跟踪和自动登陆的状态估计

    公开(公告)号:US20160009410A1

    公开(公告)日:2016-01-14

    申请号:US14792896

    申请日:2015-07-07

    IPC分类号: B64D45/08 G01S7/48

    摘要: A system and method for state estimation of a surface of a platform at sea, includes receiving sensor signals indicative of LIDAR data for the platform; applying a Bayesian filter to the LIDAR data for a plurality of hypotheses; determining vertical planes representing azimuth and elevation angles for the LIDAR data; applying a robust linear estimation algorithm to the vertical planes; and determining candidate points in response to the applying of the robust linear estimation algorithm.

    摘要翻译: 一种用于海上平台表面状态估计的系统和方法,包括接收指示平台的激光雷达数据的传感器信号; 将贝叶斯滤波器应用于多个假设的激光雷达数据; 确定表示LIDAR数据的方位角和仰角的垂直平面; 对垂直平面应用鲁棒的线性估计算法; 以及响应于所述鲁棒线性估计算法的应用来确定候选点。

    Optimal safe landing area determination

    公开(公告)号:US10676213B2

    公开(公告)日:2020-06-09

    申请号:US15519999

    申请日:2015-10-16

    摘要: According to an aspect of the invention, a method of optimal safe landing area determination for an aircraft includes accessing a probabilistic safe landing area map that includes a plurality of probabilistic indicators of safe landing areas for the aircraft. A processing subsystem that includes one or more processing resources generates a list of candidate safe landing areas based on the probabilistic safe landing area map and one or more constraints. At least two of the candidate safe landing areas are provided to a path planner. The list of candidate safe landing areas is ranked based on results from the path planner indicating an estimated cost to reach each of the candidate safe landing areas. Based on the ranking, an indicator of an optimal safe landing area is output as a desired landing location for the aircraft.

    Space partitioning for motion planning

    公开(公告)号:US10254768B2

    公开(公告)日:2019-04-09

    申请号:US15521544

    申请日:2015-10-28

    IPC分类号: G05D1/10 G01C21/32 G01C21/34

    摘要: An aspect includes space partitioning for vehicle motion planning. A plurality of obstacle data is analyzed to determine a plurality of obstacle locations in a configuration space of a vehicle. A partitioning of the configuration space is performed to compute a skeletal partition representing a plurality of obstacle boundaries based on the obstacle locations. The skeletal partition is used to preferentially place a plurality of samples by a sampling-based motion planner. At least one obstacle-free path is output by the sampling-based motion planner based on the samples.

    PROBABILISTIC SAFE LANDING AREA DETERMINATION
    10.
    发明申请
    PROBABILISTIC SAFE LANDING AREA DETERMINATION 有权
    概况安全着陆区域确定

    公开(公告)号:US20160114905A1

    公开(公告)日:2016-04-28

    申请号:US14735233

    申请日:2015-06-10

    IPC分类号: B64D45/04 G06N7/00

    摘要: According to an aspect of the invention, a method of probabilistic safe landing area determination for an aircraft includes receiving sensor data indicative of current conditions at potential landing areas for the aircraft. Feature extraction on the sensor data is performed. A processing subsystem of the aircraft updates a probabilistic safe landing area map based on comparing extracted features of the sensor data with a probabilistic safe landing area model. The probabilistic safe landing area model defines probabilities that terrain features are suitable for safe landing of the aircraft. A list of ranked landing areas is generated based on the probabilistic safe landing area map.

    摘要翻译: 根据本发明的一个方面,一种用于飞行器的概率安全着陆区域确定的方法包括接收指示飞机潜在着陆区域当前状况的传感器数据。 执行传感器数据的特征提取。 基于将传感器数据的提取特征与概率安全着陆区域模型进行比较,飞机的处理子系统更新概率安全着陆区域图。 概率安全着陆区域模型定义了地形特征适用于飞机安全着陆的概率。 基于概率安全着陆区域图生成排名着陆区域的列表。