Vehicle tracking data is an essential "raw" material for a broad range of applications such as traffic management and control, routing, and navigation. An important issue with this data is its accuracy. The method of sampling vehicular movement using GPS is affected by two error sources and con...
Add your vehicle data in a convenient platform, check routes to optimise them, use reports and more with a quick-install GPS tracking device & Mapon platform!
Realtime on Google Map Car GPS/GSM Tracking for Vehicle Anti-Theft (LT08-TN), Find Details and Price about GPS Tracker Vehicle Tracking Device from Realtime on Google Map Car GPS/GSM Tracking for Vehicle Anti-Theft (LT08-TN) - Guangzhou Tianteng Intellig
put on the line put on the map put on the markets put on the wanted lis put on your feet put on your honour put on your thinking put option put our back into put our back up put our best face on put our finger in our put our finger on put our foot down put our foot in it...
In our previous work [27], a multilayer 2D vector map was proposed for the vehicle self-localization which the map consisted of different heights of the building walls in 2D vector format. Therefore, the data size of the map was remarkably smaller than the conventional point cloud format. On...
Portfolio and Roadmap PostgreSQL Postman (Independent Publisher) Powell Teams Power Apps for Admins Power Apps for Makers Power Apps Notification Power Apps Notification V2 Power Assist Power Automate for Admins Power Automate Management Power BI Power Form 7 Power Platform for Admins V2 Power Query...
Air pollution exposures during training may impact race performances. We aggregated data on 334 collegiate male track & field athletes from 46 universities across the United States over 2010–2014. Using distributed lag non-linear models, we analyzed
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network(NIPS2014) Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture(ICCV2015) Deeper Depth Prediction with Fully Convolutional Residual Networks Multi-Scale Continuous CRFs as Seque...
Finally, they estimated the pitch angle between the stereoscopic system and the ground plane to improve the quality of the occupancy grid map. The core idea of the moving object detection method based on deep learning is to use training data to train network model parameters and hence achieve ...
Lane detection is an important component of advanced driving aided system (ADAS). It is a combined component of the planning and control algorithms. Therefore, it has high standards for the detection accuracy and speed. Recently several researchers have