Essays about: "camera based"
Showing result 21 - 25 of 652 essays containing the words camera based.
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21. 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
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22. Robust visual SLAM with compressed image data : A study of ORB-SLAM3 performance under extreme image compression
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Offloading SLAM to the edge/cloud is now becoming an attractive option to greatly decrease device energy usage. The new SLAM solution involves compressing image data on the device before transmission, allowing a further decrease in the network bandwidth when performing SLAM at the edge/cloud. READ MORE
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23. Does immersion affect cognitive transfer in FPS games? : A study of cognitive abilities transfer of engaging in first-person shooter games through immersion experiences
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : First-person shooter (FPS) games are frequently associated with immersion due to their use of a first-person perspective camera, which gives players the impression that they are a part of the game world. When combined with the proteus effect and identification, players can achieve a complete sense of immersion in the character they are portraying. READ MORE
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24. Map Based Sensor Fusion for Lane Boundary Estimation on ADAS
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A vehicles ability to detect and estimate its surroundings is important for ensuring the safety of the vehicle and passengers regardless of the level of vehicle autonomy. With an improved road and lane estimation, advanced driver-assistance systems will be able to provide earlier and more accurate warnings and actions to prevent a possible accident. READ MORE
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25. Sim2Real: Generating synthetic images from industry CAD models with domain randomization
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Deep learning methods for computer vision applications require massive visual data for model training. Although it is possible to utilize public datasets such as ImageNet, MS COCO, and CIFAR-100, it becomes problematic when there is a need for more task-specific data when new training data collection typically is needed. READ MORE