Essays about: "depth sensors"

Showing result 26 - 30 of 80 essays containing the words depth sensors.

1. 26. Submesoscale variations in sea surface temperature and salinity - a comparison between satellite data and in situ measurements from a mobile platform

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Kerstin Bergentz; [2020]
   Keywords : Earth and Environmental Sciences;

   Abstract : Sea surface temperature and salinity are important variables for understanding many ocean and climate processes. They can be measured both by in situ sensors and satellite remote sensing, each method with its own advantages and disadvantages. READ MORE

3. 27. Depth Estimation from Images using Dense Camera-Lidar Correspondences and Deep Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Ajinkya Khoche; [2020]
   Keywords : ;

   Abstract : Depth estimation from 2D images is a fundamental problem in Computer Vision, and is increasingly becoming an important topic for Autonomous Driving. A lot of research is driven by innovations in Convolutional Neural Networks, which efficiently encode low as well as high level image features and are able to fuse them to find accurate pixel correspondences and learn the scale of the objects. READ MORE

4. 28. Semantic Segmentation of Urban Scene Images Using Recurrent Neural Networks

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Venkata Satya Sai Ajay Daliparthi; [2020]
   Keywords : Image Segmentation; Deep Learning; Convolutional Neural Networks; Recurrent Neural Networks; Encoder-Decoder Models; and Scene Understanding;

   Abstract : Background: In Autonomous Driving Vehicles, the vehicle receives pixel-wise sensor data from RGB cameras, point-wise depth information from the cameras, and sensors data as input. The computer present inside the Autonomous Driving vehicle processes the input data and provides the desired output, such as steering angle, torque, and brake. READ MORE

5. 29. Toward localization and mapping with heterogeneous depth sensors

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Paula Carbó Cubero; [2020]
   Keywords : ;

   Abstract : Heterogeneous collaborative Simultaneous Localization and Mapping (SLAM) can be defined as the solution to the SLAM problem that can handle different devices with different sensors, such as a monocular camera and a 3D LiDAR sensor, building a map and performing localization all at the same time. Research regarding this field is still at a very early stage, and it is hard to find solutions to the data association problem for these different types of sensor outputs. READ MORE

6. 30. Snow depth measurements and predictions : Reducing environmental impact for artificial grass pitches at snowfall

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Findlay Forsblom; Lars Petter Ulvatne; [2020]
   Keywords : artificial grass; rubber granulate pollution; snow depth measurement; snow level prediction; temperature index; energy index; energy balance model; machine learning; python; random forest; ultrasonic sensor; infrared sensor; lorawan; pycom lopy4; micro python; arduino uno; web application; javascript; node.js;

   Abstract : Rubber granulates, used at artificial grass pitches, pose a threat to the environment when leaking into the nature. As the granulates leak to the environment through rain water and snow clearances, they can be transported by rivers and later on end up in the marine life. Therefore, reducing the snow clearances to its minimum is of importance. READ MORE