Essays about: "3D-Objektdetektering"

Showing result 1 - 5 of 9 essays containing the word 3D-Objektdetektering.

1. 1. 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)

   Author : Samuel Skoog; [2023]
   Keywords : Object Detection; LiDAR; CARLA; Deep Learning; Autonomous Vehicles; Objektdetektering; LiDAR; CARLA; Djupinlärning; Autonoma fordon;

   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

3. 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)

   Author : Viktor Kårefjärd; [2023]
   Keywords : Computer Vision; 3D Object Detection; Multi-Modal Fusion; Deep Learning; Datorseenden; 3D-objektdetektion; Multimodal fusion; Djupinlärning;

   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

4. 3. Unsupervised Domain Adaptation for 3D Object Detection Using Adversarial Adaptation : Learning Transferable LiDAR Features for a Delivery Robot

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

   Author : Mattias Hansson; [2023]
   Keywords : Unsupervised Domain Adaptation; 3D Object Detection; Mobile Robotics; Adversarial Adaptation; Computer Vision; Oövervakad Domänanpassning; 3D Objektigenkänning; Mobila Robotar; Motspelaranpassning; Datorseende;

   Abstract : 3D object detection is the task of detecting the full 3D pose of objects relative to an autonomous platform. It is an important perception system that can be used to plan actions according to the behavior of other dynamic objects in an environment. READ MORE

5. 4. CenterPoint-based 3D Object Detection in ONCE Dataset

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

   Author : Yuwei Du; [2022]
   Keywords : 3D Object Detection; Keypoint Detector; Class Balance; Self-Calibrated Convolution; IoU-aware Detector; Box Ensembles; 3D-Objektdetektering; Nyckelpunktsdetektor; Klassbalans; Självkalibrerad Faltning; IoU-medveten Detektor; Boxensembler;

   Abstract : High-efficiency point cloud 3D object detection is important for autonomous driving. 3D object detection based on point cloud data is naturally more complex and difficult than the 2D task based on images. Researchers keep working on improving 3D object detection performance in autonomous driving scenarios recently. READ MORE

6. 5. Data Augmentation for Safe 3D Object Detection for Autonomous Volvo Construction Vehicles

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

   Author : Xun Zhao; [2021]
   Keywords : Point Cloud; Data Augmentation; Data Annotation; 3D Object Detection; Generative Adversarial Network; Computer Vision.;

   Abstract : Point cloud data can express the 3D features of objects, and is an important data type in the field of 3D object detection. Since point cloud data is more difficult to collect than image data and the scale of existing datasets is smaller, point cloud data augmentation is introduced to allow more features to be discovered on existing data. READ MORE