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A Study on a 3D Convolution-Based Video Recognition System for Driving Aggressiveness Recognition
http://doi.org/10.5626/JOK.2024.51.12.1094
This study aims to develop and test a model for classifying driving styles and recognizing driving aggressiveness using video data collected from a vehicle's front camera. To achieve this, the CARLA simulator was employed to simulate aggressive and cautious driving behaviors across various road environments, while a 3D convolution-based VideoResNet model was utilized for analyzing the video data. The results showed that the trained model achieved high accuracy in classifying driving styles during urban driving scenarios, demonstrating the effectiveness of front camera data in recognizing driving aggressiveness. Furthermore, experiments confirmed the model's capability to classify driving styles in an online manner, highlighting its potential as an on-the-spot tool for recognizing driving aggressiveness. Additionally, this study investigated the effect of road environments and speed variations on aggressiveness scores, demonstrating that the model can effectively consider the interplay between road complexity and speed when makingin its predictions.
Developement of SITL & HITL System based on PX4-Matlab for VTOL Test
Donghyeon Ko, Minkyu Kim, Jinseok Jung, SungTae Moon
http://doi.org/10.5626/JOK.2024.51.6.528
PX4, the open-source-based flight control computer, is garnering significant attention for its ability to support various drone configurations. The integration of Gazebo and PX4 enables the validation of flight control algorithms in simulations, making it widely utilized in system development. However, when developing specialized drone configurations not natively supported by Gazebo, it becomes challenging to create vehicle models. In addition the fidelity of the drone component models provided by Gazebo is often not high, leading to discrepancies between simulation and actual aircraft operation results. In the aerospace field, Matlab/Simulink, known for its high-fidelity drone models, has been widely used. However, the integration of Matlab/Simulink with PX4 has presented challenges, resulting in the need to maintain separate source code for simulation and real-world operations, leading to duplicated development efforts. This paper proposes a PX4-Matlab simulator, which leverages Matlab/Simulink commonly used in the drone industry, as an alternative to the conventional approach of using PX4 and Gazebo. To verify the proposed system, it was applied and tested on the LC-62 VTOL drone.
MQSim-E: Design and Implementation of an NVMe SSD Simulator for Enterprise SSDs
Duwon Hong, Dusol Lee, Jihong Kim
http://doi.org/10.5626/JOK.2022.49.4.271
In the study of storage systems such as SSD, a simulator that accurately mimic the operation of SW/HW inside the system plays an important role. In this paper, MQSim, which is widely used in research on NVMe SSDs, was shown to be inappropriate for the development of enterprise-SSD, and we propose an MQSim-E simulator that supports optimized techniques adopted in enterprise-SSD. MQSim-E fully utilizes the parallelism of flash memory and minimizes the performance overhead of garbage collection, improving IOPS, which is an important design goal for enterprise-SSDs, by up to 210% and reducing tail latency by up to 16,000% compared to the existing simulator (MQSim) to accurately reflect the characteristics of commercial enterprise SSDs.
VNSIM: Virtual Machine based Multi-core SSD Simulator for supporting NVM Express
http://doi.org/10.5626/JOK.2018.45.5.427
Solid State Drives (SSD) continue to improve its performance and capacity through the adoption of new host interfaces and the use of multi-channel/multi-way I/O parallelism with multiple core controllers. In order to design and evaluate the structure of the SSDs, a new SSD simulator needs to be developed that supports the latest storage techniques. In this study, we develop a SSD simulator, the Virtual-machine based NVMe SSD SIMulator (VNSIM), which supports the latest host controller interface, NVM Express. The VNSIM simulates the entire I/O stack, from applications to Flash memories. Unlike the existing SSD simulators, the VNSIM provides an environment for simulating and evaluating SSD structures with two or more Flash Translation Layer (FTL) cores running in the SSD. We developed the Flash I/O emulator which simulates the I/O performance of the Flash memory including page cache registers. The VNSIM was validated using the Samsung 950 Pro NVMe SSD, showing that the VNSIM models the 950 Pro SSD with a 6.2%～8.9% offset.
Real-time Simulation of Seas and Swells for Ship Maneuvering Simulators
Sekil Park, Jaeyong Oh, Jinah Park
Seas and swells are basic wave types in ocean surface simulation and are very important elements in the simulation of ocean background. In this paper, we propose a real-time simulation method, for reproducing realistic seas and swells, to be used in real-time simulators such as ship maneuvering simulators. Seas and swells have different visual properties. Swells have relatively longer wavelengths and round crests compared with seas, therefore they are visualized globally with large meshes and procedural methods. Parameters to illustrate swells are extracted from ocean wave spectra. Conversely, seas have shorter wavelengths and their characteristics are only clearly apparent near to the observation point. Here, we present visualization of seas based on a statistical wave model using ocean wave spectra, which provides realistic results in a reactively small area.
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