Automotive Research Centre

• 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

• 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

• 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

• 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

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

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

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

• 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

• 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

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

• 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

• Accurate Measurement
• Measures the calorific values of liquid and solids
• High Resolution
• Automatic Detection

Room No: GDN G-19B
Fuel Testing Lab, ARC, GDN Block, VIT, Vellore Campus.

Dr. A Rammohan  (Faculty-In charge)
E-Mail: rammohan.a@vit.ac.in
Contact: 9942570122

The CS5800 is a laboratory gas chromatograph meant for separating and analysing volatile and semi-volatile compounds from liquid and gas samples across multiple industries including pharmaceutical, chemical, petrochemical, environmental, agriculture, research, and more.

Hydrocarbon, Fatty Acid Methyl Ester (Biodiesel) and Petrochemical analysis Analysis of volatile and semi-volatile organic compounds Research and quality control applications in chemical laboratories

Room No: GDN G-19B
Fuel Testing Lab, ARC, GDN Block, VIT, Vellore Campus.