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UID:pretalx-foss4g-asia-2023-HZYJJ9@talks.osgeo.org
DTSTART;TZID=KST:20231130T101000
DTEND;TZID=KST:20231130T102000
DESCRIPTION:To improve the safety of autonomous driving\, ample data is req
 uired. However\, obtaining driving data takes considerable manpower\, and 
 driving an autonomous vehicle is dangerous. Recently\, vehicle driving sim
 ulations have been efficiently researched in the field of autonomous drivi
 ng as a solution to this problem. However\, these simulations are difficul
 t to obtain for public users\, and users must pay expensive license fees. 
 Moreover\, existing vehicle driving simulations can only be used in a limi
 ted environment because users have limited modification rights. Therefore\
 , we want to develop a simulator with better accessibility than paid simul
 ators and establish a simulation each user can acquire data in the customi
 zed environment. It will include the core functions of commercial simulato
 rs\, such as setting the vehicle's route\, creating a realistic environmen
 t\, and acquiring the vehicle's sensor data. This simulator\, implemented 
 as a "toolchain\," incorporates open-source platforms.\nIn this study\, we
  will integrate the open-source platforms 'Vehicle Route Planning Simulati
 on Platform'\, '3D Vehicle Driving Simulation Platform'\, and '3D Road Mod
 eling Tool'. The 'Vehicle Route Planning Simulation Platform' is specializ
 ed in planning the route of a vehicle\, the '3D Vehicle Driving Simulation
  Platform' is developed to support autonomous driving systems so it is eas
 y to obtain vehicle sensor data\, and the '3D Road Modeling Tool' helps to
  build a realistic environment. Therefore\, we adopted these platforms. Ve
 hicle driving simulation have essential elements.\nWe need a Vector Map th
 e vehicle references to drive and a 3D model to visualize it. Based on the
  vector map\, the scenario of the vehicle is determined and the environmen
 t similar to the real world is created with the 3D model. To implement the
  actual vector map\, we first download the road network in OSM format from
  Openstreetmap. And the road network is converted to a road network used b
 y the 'Vehicle Route Planning Simulation Platform'(network). The network g
 enerates vehicle scenario(route) and 3D road data with road shape and prop
 erties through the 'Vehicle Route Planning Simulation Platform'. The 3D ro
 ad data has a real-world environment by creating buildings and structures\
 , vegetation\, and the slope of the road using the 3D Road Modeling Tool. 
 Import the previously created network file\, route file\, and 3D road data
  into the '3D Vehicle Driving Simulation Platform'\, and you can see the v
 ehicles driving on a set route in the 3D simulator. Additionally\, We defi
 ne Camera\, LiDAR\, and GNSS sensors and assign the location and propertie
 s of the sensors. And we can obtain customized data. Using the method desc
 ribed above\, we implemented a simulator based on the environment near the
  main gate of Seoul National University and obtain a camera\, LiDAR\, and 
 GNSS data from 1000 vehicles at a time. The vehicle driving simulator crea
 tes a virtual mirror world of the real road. Moreover\, simulators with op
 en source can interact with various developers and improve rapidly\, which
  is an opportunity to expand the simulator market. Furthermore\, this rese
 arch is expected to help develop algorithms to improve the location inform
 ation of vehicles.
DTSTAMP:20260514T063513Z
LOCATION:Seoul Archive
SUMMARY:Development of a real-world based 3D driving simulator with open-so
 urce software and data - Impyeong Lee\, LeeChong
URL:https://talks.osgeo.org/foss4g-asia-2023/talk/HZYJJ9/
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