Transportation
Nowadays road accident in Bangladesh is a buzzword due to its lack of carefulness of the driver of the vehicle where some parameter exists. The traffic safety of the roadway is an essential concern not only for transportation governing agencies but also for citizens of our country. For safe driving suggestions, the important thing is to find the variables that are tensed to relate to the fatal accidents that are occurring often. In this dataset, we provides a detailed account of the road accidents that covers the year of 2016 to 2019.
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"In this article, we present a novel approach to designing and optimizing unmanned aerial vehicles (UAVs) to carry low-weight cargo. Various computational design techniques are involved, including the computer-aided design (CAD) of the aircraft's mechanical components and the simulation of its structural and material properties by finite elements methods (FEM). Mathematical models were also used to describe and improve the rotodynamic stability, control, and weight-carrying capacity of the UAV.
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248 Views
This dataset presents the acceleration values of the spreader with the attached containers that are being unloaded from a container ship, as well as detected impacts to the vertical cell guides and other containers during hooking procedures inside the ship for 102 cycles. This dataset was partially used in a recent publication:
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167 Views
This data set includes the logs of a multi-vehicle autonomous race between 6 vehicles, all controlled by the same controller.
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62 Views
This article presents the details of the Cardinal RF (CardRF) dataset. CardRF is acquired to foster research in RF- based UAV detection and identification or RF fingerprinting. RF signals were collected from UAV controllers, UAV, Bluetooth, and Wi-Fi devices. Signals are collected at both visual line-of-sight and beyond-line-of-sight. The assumptions and procedure for the data acquisition are presented. A detailed explanation of how the data can be utilized is discussed. CardRF is over 65 GB in storage memory.
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8028 Views
This dataset contains realistic trajectories from multiple vehicles moving in the simulated environment of CARLA autonomous driving simulator. Two different maps (Map04 and Map10) have been exploited, corresponding to realistic driving conditions in simulated urban environments. Five sub-datasets have been extracted, corresponding to different number of vehicles, e.g., 50, 100 and 200, spawned in each map for 200 seconds.
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679 Views
This is the dataset for 'A General Lightweight Odometry Framework for Intelligent Vehicles' See https://github.com/YushengWHU/GIO_dataset for detailed introduction.
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44 Views
This dataset contains the vehicular densities from a location in Jeju-si, South Korea. The dataset considers the regions to be classified as a tracking area code (TAC) cell, over which the time-series data for multi-class vehicular densities is provided.The dataset contains the major areas/junctions from where the Jeju International Airport and Jeju Seaport traffic passes on daily. Jeju International Airport is one of the busiest airpots in the world.
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217 Views
This dataset consists of the training and the evaluation datasets for the LiDAR-based maritime environment perception presented in our journal publication "Maritime Environment Perception based on Deep Learning." Within the datasets, LiDAR raw data are processed using Deep Neural Networks (DNN). In the training dataset, we introduce the method for generating training data in Gazebo simulation. In the evaluation datasets, we provide the real-world tests conducted by two research vessels, respectively.
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1655 Views
BRT Dataset for IEEE VTS
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88 Views