Essays about: "Autonom körning"
Showing result 11 - 15 of 84 essays containing the words Autonom körning.
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11. Meta-Pseudo Labelled Multi-View 3D Shape Recognition
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of computer vision has long pursued the challenge of understanding the three-dimensional world. This endeavour is further fuelled by the increasing demand for technologies that rely on accurate perception of the 3D environment such as autonomous driving and augmented reality. READ MORE
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12. Control Method for an Automated Forest Machine Based on Deep Reinforcement Learning
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : An automated forest machine was designed in order to improve the working environment of today’s forest machine operators. In order to realize the autonomous control of the forest machine, model-based methods such as A* and dynamic window were used in previous projects. READ MORE
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13. 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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14. Using Reinforcement Learning to Correct Soft Errors of Deep Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Neural Networks (DNNs) are becoming increasingly important in various aspects of human life, particularly in safety-critical areas such as autonomous driving and aerospace systems. However, soft errors including bit-flips can significantly impact the performance of these systems, leading to serious consequences. READ MORE
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15. 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