Distance Estimation of Preceding Vehicle Based on Mono Vision Camera and Artificial Neural Networks

涉水光学

“…Ivanić 等 [113] 提出了一种基于寻找最佳节点方位的 RSSI 测 距改进方法. Karthika 等 [114] 采用传统的逆向透视映射算法, 提出基于人工神经网络的算法, 用于从 摄像机图像中计算距离. 国内部分学者也进行了水下目标距离估计的研究, 使用融合水下影像多尺度…”

Research on Cone Bucket Detection Algorithm Based on Improved YOLOv5s

“…where x and µ denote the vectors of coordinates (x, y) and means, respectively, and ∑ denotes the covariance matrix of the Gaussian distribution. When x and u satisfy Equation (10), this ellipse is the isodensity contour line of a 2D Gaussian distribution.…”

“…Bojan Strbac et al [9] suggested a technique for determining the distance of an object based on the YOLO algorithm and the stereo vision concept. K. Karthika et al [10] offered a method for estimating the distance to the vehicle ahead using an artificial neural network and a monocular camera. Zhiguo Liu et al [11] deleted the feature layer and prediction head with poor feature extraction ability in YOLOv5, and also integrated a new type of feature extractor with stronger feature extraction ability into the network; at the same time, they borrowed the idea of a residual network to integrate coordinate attention into the network.…”