Automotive Research Centre

Home Facilities ARC

Make: AMAR Equipments

Model: M.O.C. SS-316

100 Bar (Continuous safe working pressure is 80 % of the design pressure) and 250o C.

  • Hydrogenation process
  • Fuel filter testing

Room No.: G-1
Ground floor
GD Naidu Block
Automotive Research Centre

Dr. Thangaraja J
Associate Professor
Automotive Research Centre
VIT, Vellore -632014
Email: arc.arfbtt@vit.ac.in

User Type Charges (INR) (+ applicable GST)
UG /PG Students from Academic Institution 1000
Research Scholar from Academic Institution 2000
Project Staff from Academic Institution 3000
Faculty Members from Academic Institution 5000
Research Scientist from R&D Organizations 5000
Industry Personnel from Industry 6000
Personnel from Non - Government Organization 7000

Make: NVIDIA

Model: NVIDIA Jetson AGX Xavier Developer Kit

  • Handling visual odometry
  • Sensor fusion
  • Localization and mapping
  • Obstacle detection
  • Path planning algorithms

NVIDIA Jetson AGX Xavier sets a new bar for compute density, energy efficiency, and AI inferencing capabilities on edge devices. It's the next evolution in next-generation intelligent machines with end-to-end autonomous capabilities. This makes it ideal for autonomous machines like delivery and logistics robots, factory systems, and large industrial UAVs.

Ground Floor
CDMM Block
Autonomous Vehicles Research Lab
Automotive Research Centre

Dr. P. Shunmuga Perumal
Assistant Professor (Senior)
Automotive Research Centre
VIT, Vellore-632014
E-mail: arc.nvidiajet@vit.ac.in

User Type Charges (INR) (+ applicable GST)
UG /PG Students from Academic Institution 10000
Research Scholar from Academic Institution 10000
Project Staff from Academic Institution 10000
Faculty Members from Academic Institution 10000
Research Scientist from R&D Organizations 10000
Industry Personnel from Industry 10000
Personnel from Non - Government Organization 10000

Make: Velodyne

Model: Velodyne HDL-32E

  • 3D LiDAR Data Points can be generated as follows.
    Single Return Mode: ~695,000 points per second
    Dual Return Mode: ~1,390,000 points per second

Velodyne's HDL-32E LiDAR sensor is designed to exceed the demands of the most challenging, real-world industrial applications including autonomous vehicle control and operation, mobile terrestrial mapping, aerial 3D mapping and security surveillance.

Ground Floor - CDMM Block
Autonomous Vehicles Research Lab
Automotive Research Centre

Dr. P. Shunmuga Perumal
Assistant Professor (Senior)
Automotive Research Centre
VIT, Vellore-632014
E-mail: arc.lidarhdl32e@vit.ac.in

User Type Charges (INR) (+ applicable GST)
UG /PG Students from Academic Institution 100000
Research Scholar from Academic Institution 100000
Project Staff from Academic Institution 100000
Faculty Members from Academic Institution 100000
Research Scientist from R&D Organizations 50000
Industry Personnel from Industry 100000
Personnel from Non - Government Organization 100000

Make: Xsens

Model: MTi-G-710-2A8G4-DK, MTi-G-710-2A8G0-DK

  • Optimized temperature calibration
  • High-frequency position and orientation
  • Vibration-rejecting gyroscopes and accelerometers

These IMUs provide high-quality position, velocity, acceleration, and orientation, even in challenging environments for autonomous vehicles, drones.

Ground Floor
CDMM Block
Autonomous Vehicles Research Lab
Automotive Research Centre

Dr. P. Shunmuga Perumal
Assistant Professor (Senior)
Automotive Research Centre
VIT, Vellore-632014
E-mail: arc.inertialmu@vit.ac.in

User Type Charges (INR) (+ applicable GST)
UG /PG Students from Academic Institution 30000
Research Scholar from Academic Institution 30000
Project Staff from Academic Institution 30000
Faculty Members from Academic Institution 30000
Research Scientist from R&D Organizations 30000
Industry Personnel from Industry 30000
Personnel from Non - Government Organization 30000

Make: Velodyne

Model: VLP'16 PUCK

  • 3D LiDAR Data Points can be generated as follows.
    Single Return Mode: ~300,000 points per second
    Dual Return Mode: ~600,000 points per second

The Puck is a small, compact lidar that is optimized for usage across a variety of applications, including automotive, mapping, robotics, security, smart cities and more.

Ground Floor - CDMM Block
Autonomous Vehicles Research Lab
Automotive Research Centre

Dr. P. Shunmuga Perumal
Assistant Professor (Senior)
Automotive Research Centre
VIT, Vellore-632014
E-mail: arc.lidarvlp16@vit.ac.in

User Type Charges (INR) (+ applicable GST)
UG /PG Students from Academic Institution 25000
Research Scholar from Academic Institution 25000
Project Staff from Academic Institution 25000
Faculty Members from Academic Institution 25000
Research Scientist from R&D Organizations 25000
Industry Personnel from Industry 25000
Personnel from Non - Government Organization 25000

Make: AVL, Austria

Model: 415S

Sensitivity : 20 mg/m3-10 mg/m3

To measure the level of smoke, hydrocarbon, carbon monoxide, carbon dioxide, oxides of nitrogen emission.

Room No.: G-19
Ground floor
GD Naidu Block
Automotive Research Research Centre

Dr. Mohamed Ibrahim M
Associate Professor
Automotive Research Centre
VIT, Vellore -632014
Email: arc.smea@vit.ac.in

User Type Charges (INR) (+ applicable GST)
UG /PG Students from Academic Institution 750
Research Scholar from Academic Institution 750
Project Staff from Academic Institution 750
Faculty Members from Academic Institution 750
Research Scientist from R&D Organizations 1500
Industry Personnel from Industry 2000
Personnel from Non - Government Organization 2000

Make: Kistler, Switzerland

Model: 2893A

Sensitivity : 0.03 pC/s

To measure the combustion parameters such as cylinder pressure, heat release rate, rate of pressure rise and cumulative heat release rate.

Room No.: G19
Ground floor
GD Naidu Block
Automotive Research Centre

Dr. Mohamed Ibrahim M
Associate Professor
Automotive Research Centre
VIT, Vellore -632014
Email: arc.comanaly@vit.ac.in

User Type Charges (INR) (+ applicable GST)
UG /PG Students from Academic Institution 750
Research Scholar from Academic Institution 750
Project Staff from Academic Institution 750
Faculty Members from Academic Institution 750
Research Scientist from R&D Organizations 1000
Industry Personnel from Industry 1000
Personnel from Non - Government Organization 1000

Make: Dynalec, India

Model: ECB-10-3.5

35 kW at 5000 to 10000 rpm

To measure the engine load and speed

Room No.: G-19
Ground floor
GD Naidu Block
Automotive Research Centre

Dr. Mohamed Ibrahim M
Associate Professor
Automotive Research Centre
VIT, Vellore -632014
Email: arc.eddycurrdynamo@vit.ac.in

User Type Charges (INR) (+ applicable GST)
UG /PG Students from Academic Institution 500
Research Scholar from Academic Institution 500
Project Staff from Academic Institution 500
Faculty Members from Academic Institution 500
Research Scientist from R&D Organizations 1000
Industry Personnel from Industry 1500
Personnel from Non - Government Organization 1500

Make: NVIDIA

Model: DGX1

  • 72X the performance for deep learning training, compared with CPU-based servers.
  • 100X in speed-up on large data set analysis, compared with a 20 node Spark server cluster.
  • maximized versatility with deep learning training and over 30,000 images/second inferencing.

Training management of deep learning algorithms, effortlessly, at 3X faster speed than other GPU based systems

Ground Floor
CDMM Block
Autonomous Vehicles Research Lab
Automotive Research Centre

Dr. P. Shunmuga Perumal
Assistant Professor (Senior)
Automotive Research Centre
VIT, Vellore-632014
E-mail: arc.dls@vit.ac.in

User Type Charges (INR) (+ applicable GST)
UG /PG Students from Academic Institution 500000
Research Scholar from Academic Institution 500000
Project Staff from Academic Institution 500000
Faculty Members from Academic Institution 500000
Research Scientist from R&D Organizations 500000
Industry Personnel from Industry 500000
Personnel from Non - Government Organization 500000

Make: Speedgoat

Model: Real time target machine with IO and BMS Emulation

  • Capable to use together with Simulink and Simulink Real-Time from MathWorks
  • Supports concurrent execution of real-time application on multiple cores
  • A vast range of I/O connectivity and industrial protocols are supported
  • Up to 50 I/O modules can be installed by using additional expansion units

Hardware level vision and image processing, rapid control prototyping or plant simulation with hardware-in-the-loop (HIL) for Lithium battery and motor for all battery applications

Ground Floor
CDMM Block
Autonomous Vehicles Research Lab
Automotive Research Centre

Dr. A. Rammohan
Assistant Professor (Senior)
Automotive Research Centre
VIT, Vellore-632014
E-mail: arc.hilbm@vit.ac.in

User Type Charges (INR) (+ applicable GST)
UG /PG Students from Academic Institution 200000
Research Scholar from Academic Institution 200000
Project Staff from Academic Institution 200000
Faculty Members from Academic Institution 200000
Research Scientist from R&D Organizations 200000
Industry Personnel from Industry 200000
Personnel from Non - Government Organization 200000

Make: NVIDIA

Model: NVIDIA DRIVE AGX Pegasus (dual Xavier + dual TU104) Developer Kit - 940-63550-2200-100

Level 2 and Level 3 autonomous vehicles can be developed.

NVIDIA DRIVE AGX embedded supercomputing platforms process data from camera, radar, and lidar sensors to perceive the surrounding environment, localize the car to a map, and plan and execute a safe path forward. This AI platform supports autonomous driving, in-cabin functions and driver monitoring, as well as other safety features—all in a compact, energy-efficient package.

Ground Floor
CDMM Block
Autonomous Vehicles Research Lab
Automotive Research Centre

Dr. P. Shunmuga Perumal
Assistant Professor (Senior)
Automotive Research Centre
VIT, Vellore-632014
E-mail: shunmugaperumal.p@vit.ac.in

User Type Charges (INR) (+ applicable GST)
UG /PG Students from Academic Institution 50000
Research Scholar from Academic Institution 50000
Project Staff from Academic Institution 50000
Faculty Members from Academic Institution 50000
Research Scientist from R&D Organizations 50000
Industry Personnel from Industry 50000
Personnel from Non - Government Organization 50000

Make: Vertex

Model: Driving Simulator CSV 3001

  • i7 Processor
  • Windows operating system
  • Field of view around 180 Degrees with a minimum of 120 Degrees on the front and 120 Degrees on the rear
  • Rendering techniques like HDR, Normal Maps, Bump maps

It is used to study human – machine interface, scientific behavioural research and measurement of brake reaction time. It helps to create scenarios about vehicle control, including gear changing, lane changing, and use of indicator at various atmospheric conditions. These scenarios are used to train the neural network models for autonomous vehicles.

Ground Floor
CDMM Block
Autonomous Vehicles Research Lab
Automotive Research Centre

Dr. P. Shunmuga Perumal
Assistant Professor (Senior)
Automotive Research Centre
VIT, Vellore-632014
E-mail: shunmugaperumal.p@vit.ac.in