Essays about: "-disadvantages of 3d radar"
Showing result 1 - 5 of 40 essays containing the words -disadvantages of 3d radar.
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1. Radar and sea clutter simulation with Unity 3D game engine
University essay from Linköpings universitet/Programvara och systemAbstract : Game engines are well known for their use in the gaming industry but are starting to have an impact in other areas as well. Architecture, automotive, and the defence industry are today using these engines to visualise and, to some extent, test their products. READ MORE
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2. Robust Multi-Modal Fusion for 3D Object Detection : Using multiple sensors of different types to robustly detect, classify, and position objects in three dimensions.
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The computer vision task of 3D object detection is fundamentally necessary for autonomous driving perception systems. These vehicles typically feature a multitude of sensors, such as cameras, radars, and light detection and ranging sensors. READ MORE
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3. Reconnaissance Radar Robot
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Educational tools in the Army can be challenging due to their size and the fact that they are often set up and used outside of traditional classroom settings. This can make it difficult for students to explore and understand the technologies they are learning about fully. READ MORE
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4. Arbitrary motion Synthetic Aperture Radar
University essay from Lunds universitet/Matematisk statistikAbstract : Syftet med denna avhandling är att utveckla en ny metod för att producera bilder med syntetisk aperturradar (SAR), med utgångspunkt i scenarier med arbiträr rörelse vad gäller radarsensorn. SAR är en väletablerad metod för att skapa 2- eller 3-dimensionella radarbilder, som traditionellt sett antar att radar-sensorns rörelse är linjär och förutsägbar. READ MORE
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5. Image and RADAR fusion for autonomous vehicles
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Robust detection, localization, and tracking of objects are essential for autonomous driving. Computer vision has largely driven development based on camera sensors in recent years, but 3D localization from images is still challenging. Sensors such as LiDAR or RADAR are used to compute depth; each having its own advantages and drawbacks. READ MORE