Advanced search

Showing result 1 - 5 of 140 essays matching the above criteria.

1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

   Author : Xinchen Wang; [2024]
   Keywords : Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

   Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE

3. 2. Challenges in Specifying Safety-Critical Systems with AI-Components

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Iswarya Malleswaran; Shruthi Dinakaran; [2023-09-26]
   Keywords : Software engineering; Requirement engineering; Specification; Safety; Computer Science; Engineering; Machine learning; Deep learning; Runtime monitor; Data Selection; Data Collection;

   Abstract : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. READ MORE

4. 3. On Systematically Exploring the State Space for Events with SFCs

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Younis Akel; Gianmarco Iachella; [2023-08-07]
   Keywords : Autonomous driving systems; scenario-based testing; space-filling curve SFC ; characteristic stripe patterns CSP ; permutations; state-space; areas of interest AOI ;

   Abstract : In the process of developing autonomous driving systems (AD systems), ensuring safety remains a constant and continuous priority. Scenario-based testing is a popular approach to guarantee the safety of AD systems, which however meets challenges in terms of diversity and efficiency of generation, as well as evaluating existing test case datasets in terms of their coverage of the different variations of a particular maneuver. READ MORE

5. 4. Systematically Analyzing Synthetic Automotive Data to support Space Filling Curves-based Maneuver Detection

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Alexandre Rancati-Palmer; Christopher Axt; [2023-08-03]
   Keywords : Morton; Carla; autonomous driving; edge case;

   Abstract : Context: In autonomous driving system development, the identification of maneuvers within large datasets is progressively becoming more complex, primarily due to the inherent complexity arising from the multidimensional nature of the data describing these maneuvers. In this context, algorithms based on Space-Filling Curves can be an effective way to index datasets by creating a single-dimensional representation of the maneuvers. READ MORE

6. 5. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

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

   Author : Jiayi Feng; [2023]
   Keywords : DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

   Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. READ MORE