Essays about: "djupinlärning"
Showing result 21 - 25 of 374 essays containing the word djupinlärning.
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21. LiDAR Perception in a Virtual Environment Using Deep Learning : A comparative study of state-of-the-art 3D object detection models on synthetic data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Perceiving the environment is a crucial aspect of autonomous vehicles. To plan the route, the autonomous vehicle needs to be able to detect objects such as cars and pedestrians. This is possible through 3D object detection. However, labeling this type of data is time-consuming. READ MORE
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22. Exploring the Use of Attention for Generation Z Fashion Style Recognition with User Annotations as Labels
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As e-commerce and online shopping have increased worldwide, the interest and research of intelligent fashion systems have expanded. Given the competitive nature of the fashion market business, digital marketplaces depend on determining customer preferences. READ MORE
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23. Multi-Scale Task Dynamics in Transfer and Multi-Task Learning : Towards Efficient Perception for Autonomous Driving
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Autonomous driving technology has the potential to revolutionize the way we think about transportation and its impact on society. Perceiving the environment is a key aspect of autonomous driving, which involves multiple computer vision tasks. READ MORE
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24. 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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25. MmWave Radar-based Deep Learning Collision Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Autonomous drone navigation in classical approaches typically involves constructing a map representation and employing path planning and collision checking algorithms within that map. Recently, novel deep learning techniques combined with depth camera observations have emerged as alternative approaches capable of achieving comparable collision-free performance. READ MORE