[this.currentPointIndex]; const nextPoint = this.trackPoints[this.currentPointIndex + 1]; bearing...nextPoint.lat - currentPoint.lat, nextPoint.lng - currentPoint.lng ) * 180 / Math.PI; bearing...= (bearing + 360) % 360; bearing = (360 - bearing + 90) % 360; } this.mapController?....以下是更新地图中心点和旋转角度的代码:let bearing = 0;if (this.currentPointIndex bearing + 360) % 360; bearing = (360 - bearing + 90) % 360;}this.mapController?.
结构健康监测和评估数据集 液压装置状态评估数据集 半导体制造过程数据集 轴承类工业数据集 1、轴承模拟疲劳损伤的实验数据集 获取下载数据方式: http://www.52phm.cn/datasets/bear/bearing-simulation-fatigue-damage.html...4、工业大数据竞赛的轴承数据 获取下载数据方式: http://www.52phm.cn/datasets/bear/Bearing-competition-data-set.html 5、美国西储大学滚动轴承实验数据...获取下载数据方式: http://www.52phm.cn/datasets/bear/Western-Reserve-University-Rolling-bearing-data-set.html...6、西安交大轴承加速寿命实验数据 获取下载数据方式: http://www.52phm.cn/datasets/bear/Xian-Jiaotong-University-bearing-acceleration-life-test-data.html...7、国外轴承数据集的平台数据 获取下载数据方式: http://www.52phm.cn/datasets/bear/foreign-bearing-data-set-website.html 8、IEEE
(φ1) * cos(φ2) * cos(Δλ); double y = sin(Δλ) * cos(φ2); double θ = atan2(y, x); double bearing...= [CLLocation toDegrees:θ]; return bearing;}+ (double)toDegrees:(double)radius { return radius...* 180.0 / M_PI;}+ (double)toRadius:(double)degree { return degree * M_PI / 180.0;}调用示例double bearing...ca_getCompassAngleFromCoor1:(CLLocationCoordinate2DMake(20, 20)) coor2:(CLLocationCoordinate2DMake(20, 140))];NSLog(@"bearing...:%.2f", bearing);//设置地图方位角...结论经测试,上面算法可以满足需求,且效果正确!
= math.degrees(math.atan2(y, x)) # 转换为0-360度(正北为0度,顺时针增加) bearing = (bearing + 360) % 360...return bearing def determine_action(P1, P2, D1, D2, current_direction): """ 判断应该执行的动作 参数:...计算到目标点的方位角 target_bearing = calculate_bearing(P1, P2, D1, D2) # 2....计算当前朝向与目标方位的角度差(最短路径) angle_diff = target_bearing - current_dir_360 # 将角度差归一化到[-180, 180]...= calculate_bearing(P1, P2, D1, D2) distance = haversine_distance(P1, P2, D1, D2) line_length
* cos(φ2) * cos(Δλ); double y = sin(Δλ) * cos(φ2); double θ = atan2(y, x); double bearing...= [CLLocation toDegrees:θ]; return bearing; } + (double)toDegrees:(double)radius { return radius...180.0 / M_PI; } + (double)toRadius:(double)degree { return degree * M_PI / 180.0; } 调用示例 double bearing...ca_getCompassAngleFromCoor1:(CLLocationCoordinate2DMake(20, 20)) coor2:(CLLocationCoordinate2DMake(20, 140))]; NSLog(@"bearing...:%.2f", bearing); //设置地图方位角...
2021.6.944021595/pythonFiles/lib/python/debugpy/launcher 35911 -- /workspace/nfs/datasets/VVD_Win_Share/Bearing...解决方案 搜索配置 execute in file: 解决问题: 再次运行代码时会进入当前工程目录再执行程序 # cd /workspace/nfs/datasets/VVD_Win_Share/Bearing...2021.6.944021595/pythonFiles/lib/python/debugpy/launcher 38703 -- /workspace/nfs/datasets/VVD_Win_Share/Bearing
(不包含mask文件,仅仅包含jpg图片和对应的json文件) 图片数量(jpg文件个数):7820 标注数量(json文件个数):7820 标注类别数:20 标注类别名称:["Graffiti","Bearing...EJoint","Crack","Drainage","ACrack","JTape","Rockpocket","PEquipment","WConccor","object"] Graffiti - 涂鸦 Bearing...Rockpocket - 岩窝(或岩石凹槽) PEquipment - 防护设备 WConccor - 水侵蚀混凝土 object - 物体 每个类别标注的框数: Graffiti count = 2197 Bearing
BOLT 挡圈 closing ring 弹性挡圈 circlip 轴承隔套 distance sleeve of axletree 轴承 axletree 深沟球轴承 DEEP GROOVE BALL BEARING...non-buckle longth 弹簧 SPRING 吊环螺钉 LIFTING EYE BOLT 开槽盘头螺钉 SLOTTED PAN HEAD SCREW 圆锥滚子轴承 TAPERED ROLLER BEARING...推力球轴承THRUST BALL BEARING 平键 FLAT KEY 弹簧垫圈 SINGLE COIL SPRING WASHER 平垫圈 FLAT WASHER 螺母 FULL NYLOCK NUT...Number 布氏硬度值 BLK Blank ,Block 空白 B/NM Bill of Material 材料费 BOT Bottom 底部 BP or B/P Blueprint 蓝图 BRG Bearing
文件个数):6872 标注数量(txt文件个数):6872 标注类别数:19 标注类别名称(注意yolo格式类别顺序不和这个对应,而以labels文件夹classes.txt为准):["ACrack","Bearing...剥落 WConccor - 水侵蚀混凝土 Cavity - 空洞 Efflorescence - 泛碱 Rust - 生锈 PEquipment - 防护设备 ExposedRebars - 露筋 Bearing...Hollowareas - 空洞区域 JTape - 接头胶带 Restformwork - 剩余模板 ACrack - 活动裂缝 EJoint - 伸缩缝 每个类别标注的框数: ACrack 框数 = 376 Bearing
标注数量(xml文件个数):2249 标注数量(txt文件个数):2249 标注类别数:4 标注类别名称(注意yolo格式类别顺序不和这个对应,而以labels文件夹classes.txt为准):["Bearing...","Bolt","Gear","Nut"] 每个类别标注的框数: Bearing 框数 = 2099 Bolt 框数 = 2734 Gear 框数 = 2662 Nut 框数 = 3102 总框数:10597
theta = X[2] meas_r = rmax * np.ones(meas_phi.shape) # Iterate for each measurement bearing...主要流程是: 1)将 Lidar bearing与Map Cell相对于传感器的方位进行最小误差匹配,得到影响当前Map Cell的激光束; 匹配的代码如下: r = math.sqrt((i - x...math.pi) % (2 * math.pi) - math.pi # Find the range measurement associated with the relative bearing...M, N)) for i in range(num_rows): for j in range(num_cols): # Find range and bearing...math.pi) - math.pi # Find the range measurement associated with the relative bearing
config={ "mapState": { "bearing...config={ "mapState": { "bearing
attributionControl: false, center: [104.74329766269716, 35.80025022526921], zoom: 8, pitch: 60, bearing...map.setBearing(angle); map.setCenter(center); } // 计算角度 function getAngle(coords1, coords2) { return turf.bearing
404 Error Page Charles Clinkard – 404 Error Page Giraffe – 404 Error Page Huwshimi – 404 Error Page Bearing
being the distance travelled ‘R’ is the radius of Earth ‘L’ is the longitude ‘φ’ is latitude ‘θ‘ is bearing...blob/master/ARKit%2BCoreLocation/Source/CLLocation%2BExtensions.swift func coordinate(with bearing...let lat2 = asin(sin(lat1) * cos(distRadiansLat) + cos(lat1) * sin(distRadiansLat) * cos(bearing...)) let lon2 = lon1 + atan2(sin(bearing) * sin(distRadiansLong) * cos(lat1), cos(distRadiansLong...> simd_float4x4 { let distance = Float(location.distance(from: originLocation)) let bearing
,样本共有四个维度,测试集共有20480个样本,第一张图是测试集的quantization error随时间的分布,第二张图的原理如下,每个样本都可以计算出一个最异常维度,如样本 的最异常维度是Bearing...1,样本 的最异常维度是Bearing 2,...。...20480个样本都有其最异常维度,那么每个维度都有其样本数,这便是第二张图的绘制原理,通过这张图我们可以得知此次机器的寿命问题主要因为Bearing 3。
auto_highlight=True, ) view_state = pdk.ViewState(latitude=37.7576171, longitude=-122.5776844, bearing...INITIAL_VIEW_STATE = pdk.ViewState(latitude=49.254, longitude=-123.13, zoom=11, max_zoom=16, pitch=45, bearing...} INITIAL_VIEW_STATE = pdk.ViewState(latitude=47.65, longitude=7, zoom=4.5, max_zoom=16, pitch=50, bearing...viewport location view_state = pdk.ViewState(latitude=37.7749295, longitude=-122.4194155, zoom=10, bearing
2D Lidar模型 它在2D平面上进行扫描,包含两个参数:Scanner bearing和Scanner rangers。...Scanner bearing均匀的分布在 image.png 之间,一般的我们可以认为它们均匀分布在360度的各个方向上。...然后通过2D Lidar bearing与Map Cell相对于传感器的方位进行最小误差匹配,得到影响当前Map Cell的激光束。