YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors frostblade 传感与感知2 人赞同了该文章 from CPVR2020 摘要在这项工作中,我们提出了一种基于不确定性的方法,用于传感器与相机和雷达数据的融合。两个神经网络的输出,一个处理相机,另一个处理雷达数据,以不确定性感知方...
Multi-Camera Vehicle Tracking Using Edge Computing and Low-Power Communication Typical approaches to visual vehicle tracking across large area require several cameras and complex algorithms to detect, identify and track the vehicle ro... M Nikodem,M Slabicki,T Surmacz,... - 《Sensors》 被引量...
The vehicle detection system, which uses low-quality images captured by a monocular video camera mounted at the front of the car, is based on convolutional neural networks (CNN). The CNN can extract global features of the images using convolutional layers and achieves more accurate, and faithful...
(camera), and a ground control system. There are various types of sensors or cameras used to measure crop growth and development, which include thermal cameras, hyperspectral and multispectral cameras, and light detection and ranging (LIDAR) systems (Zhang and Kovacs, 2012; Sankaran et al., ...
The network fuses RGB images with multiple point clouds from various sensors. The well-calibrated image and point cloud are input to our deep object detection network, and conduct 3D detection through proposal generation network and object detection network. Meanwhile, we made a series of ...
A rain sensor is provided with a camera having low- resolution. The sensors are arranged in a common housing, and a common evaluation unit is provided for evaluation of sensor data. The data of the rain sensor are utilized for evaluation of the data of the detection sensor and/or for ...
Adjusted controller and steering systems to permit steering on multiple axles. Camera frame definitions from MATLAB (was Excel), adjusted Mechanics Explorer configuration Added basic control parameters for default, ideal powertrain. Added display elements for battery temperature with test script. ...
On the other hand, secondary sensors may or may not directly be related to the operation and controlling of the UAV but they help to collect the sensed data. These type of sensors are basically the externally mounted sensors. For example - different types of camera sensors, LiDAR, SONAR, ...
So, intrinsic calibration is essential for doing state estimation with even a single sensor. But extrinsic calibration is equally important for fusing information from multiple sensors. In extrinsic calibration, we're interested in determining the relative poses of all of the sensors usually with respe...
Chen, S., Jin, X., Zhang, W. & Tang, Y. Vision-based formation control of multiple uavs with event-triggered integral sliding mode control.Cyber-Phys. Syst.6, 231–251 (2020). ArticleADSGoogle Scholar Li, J.et al.Multi-target detection and tracking from a single camera in unmanned ...