2DOF VR MOTION SIMULATOR - Oculus Rift & HTC VIVE

2DOF VR MOTION SIMULATOR - Oculus Rift & HTC VIVE

Project from the scratch, design, code, build construction and integration.

Virtual Reality, Robotics

  • 0 Collaborators

  • 3 Followers

    Follow

Description

I've got request from my client to build a motion simulator of car racing game. To be honest I never build even learn about motion simulator. Collect a lot of information from google and youtube as references to learn. Basically we can get 3D Motion Data from almost racing simulator games. I join the XSimulator.net community to get a lot of useful information and tutorial about Motion Simulator.

I use 2 PCs for this project. One as Gaming PC with high-specs and One as Game Controller that connect to Genuino101 via USB. Both PC connected via Crossed Ethernet Cable. Gaming PC Specs: Intel i7-6700 3.4GHz, 32GB DDR4, SSD 250GB, GTX1070 Video card, ASUS H170 Pro Gaming Motherboard. Game Controller PC Specs: Lenovo ThinkCentre M93p Mini PC, Intel i5-2.9GHz, 8GB DDR3, SSD250GB

I start from design sketch, then make a scaled model using 3D printing for learning the mechanism works and test the code and interconnection data from 2 pc. Continue drawing in 3D CAD to get detail size/dimension of metal parts.

Then start prepare the construction and build using MIG / CO Welding. I use Wiper Motor for Mercedes Benz 300E car as the actuator for motion simulator. And for driver, I use 43A BTS7960 DC Motor Driver and 30A 12V Switching Power Supply.

For Gaming Gear, I use Thrustmaster T500RS Steering Wheel and Pedals + Gear Shift. For Sound System, I use Razer Leviathan 5.1 Surround Sound Bar Dolby Speaker. The subwoofer placed on rig-base under the seat. I use 3 Samsung Curve 24" Monitor driven by GTX1070 multi display Video Adapter.

For game itself I choose Asseta Corsa and Project Cars. This project developed in two months.

Gallery

Video

Links

VR RACING SIMULATOR XPERIENCE - OCULUS RIFT

VIDEO: VR Motion Simulator in action 1

VIDEO: VR Motion Simulator in action 2

VIDEO: 2DOF MOTION SIMULATOR - VIRTUAL REALITY HTC VIVE

VIDEO: DJARUM BLACK XPERIENCE MOTION SIMULATOR

VIDEO: 2 Laps Racing: DJARUM BLACK XPERIENCE MOTION SIMULATOR

Medium atc

Anthony C. created project gRPC framework to support application to utilize the Cache Allocation Technology of Intel's RDT

Medium 2e327c44 2c22 4c02 aac1 0aa671714087

gRPC framework to support application to utilize the Cache Allocation Technology of Intel's RDT

Network Functions Virtualization ( NFV ) and Service Function Chaining ( SFC ) have moved from idea to POC to implementation stage . The challenge still remains to get bare metal performance from virtual machines . Resource Director Technology (RDT) from Intel is designed to bring in QoS to the virtual machine resources. gRPC from Google is a framework which could be used to design priority based services . This project integrates these technologies and creates a framework for more reliable and efficient services via gRPC enhanced with RDT.

Default user avatar 57012e2942

Ravi K. updated status

Default user avatar 57012e2942

Ravi K

Hi, I am very eager to learn AI technologies, I am master student at Governors State University,Chicago.

Medium headshot

Timothy P. created project MR. Configurator Tool

Medium a59775a0 6147 4390 92a9 8a2021fafea0

MR. Configurator Tool

This tool was designed to speed up calibration of your MR setup. This article explains how to use the tool and help you get the most out of your MR experiences. For VR users and streamers, making MR videos is a great way to show a different perspective to people who aren’t wearing a head-mounted display (HMD), while for VR developers, MR videos are a great way to create trailers and show a more comprehensive view of the VR experience.

Default user avatar 57012e2942

Basavaraj H. created project Apparent/Real Image Estimation using Deep Learning

Medium 1a3bd4ff 09be 4a4b 804b a9fc3e72fb38

Apparent/Real Image Estimation using Deep Learning

IMDB-WIKI age dataset processing and data loading into PyTorch model Fine tune VGG16 pre-trained on ImageNet using IMDB-WIKI database to estimate real age Train the fine-tuned model using LAP database to estimate apparent age Real age estimation is evaluated using MAE Used Ensemble 8 VGG16 nets to estimate the apparent age

Default user avatar 57012e2942

Makiko K. created project Smarter Wireless Power Transfer Technology

Medium e73a28d9 543a 4a6f afd2 ed3fdb0b5682

Smarter Wireless Power Transfer Technology

Wireless Power Transfer Technology enables people charging devices without a physical connection to the battery source. There are two main methods: Magnetic Inductance and Magnetic Resonance.

Magnetic Inductance charges devices within proximity. Magnetic Resonance, in turn, can charge further.

This project is an early proposal to evaluate how the different possible variables can impact the efficiency of the system, i.e., how fast can the device be charged subject to the distance, for example, material, object collision, room temperature, etc impact on the efficiency of the device.

Subject to these variables, the AI component of this project seeks to create a "smart wireless power charger", which reading through sensors the various conditions of the environment suggest the optimal distance for energy charging and placement without compromising the comfort of the user.

Default user avatar 57012e2942

Aashiq J. updated status

See More

No users to show at the moment.

Bigger bob duffy 3d head avatar
  • Projects 4
  • Followers 116

Bob Duffy

Folsom, CA, USA

Bigger img 20150817 123955  2
Black Belt
  • Projects 3
  • Followers 49

Aulia Faqih

Yogyakarta, Yogyakarta City, Special Region of Yogyakarta, Indonesia

Bigger screenshot www.facebook.com 2016 03 31 16 28 35
  • Projects 0
  • Followers 62

Wendy Boswell

Program Manager, Intel Software Innovators

Portland, OR, USA