NVIDIA DGX-1

Researchers depend on computing performance to gain insights and innovate faster, using the power of deep learning and analytics. NVIDIA DGX-1™ enables our lab to perform deep learning models that are data intensive involving large number of images, lidar points etc.

NVIDIA DRIVE AGX PEGASUS

NVIDIA DRIVE AGX Pegasus achieves an unprecedented 320 TOPS of deep learning with an architecture built on two NVIDIA Xavier processors and two next-generation TensorCore GPUs. This energy-efficient, high-performance AI computer runs an array of deep neural networks simultaneously and is designed to safely handle highly automated and fully autonomous driving.

NVIDIA DRIVE AGX Xavier Developer Kit

The NVIDIA Jetson AGX Xavier Developer Kit is the latest addition to the Jetson platform. It’s an AI computer for autonomous machines, delivering the performance of a GPU workstation in an embedded module under 30W. Jetson AGX Xavier is designed for robots, drones and other autonomous machines.

IMU Xsens

This module supports Attitude and Heading Reference Systems (AHRS) using angular velocity and acceleration. This can be used to compute a relative position of vehicles over time. This unit also has GNSS module, which is suitable for upcoming technologies including autonomous vehicles, drones, smart farming, Internet of (Moving) Things and robotics.

Full Cab Simulator

The full cab simulator is used to study human – machine interface, scientific behavioral research and measurement of brake reaction time. It helps to collect data about vehicle control, including gear changing, lane changing, use of indicator at various atmospheric conditions. These data are used to train the autonomous vehicles.

Basler TOF Camera

Time-of-Flight (ToF), which determines distance based on the transit time of individual light points. Achieving centimeter accuracy calls for rapid and precise electronics. Time-of-flight technology is highly effective in obtaining depth data and measuring distances for autonomous vehicles.

Velodyne LiDAR HDL-32

Stylishly small and ruggedly built with an unrivaled field of view, Velodyne’s HDL-32E Lidar sensor was 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.

Velodyne LiDAR PUCK

Velodyne's Puck (VLP-16) is highly resilient in challenging environments while operating over a wide temperature range.

Other equipment:

• Nvidia Jetson Nano Developer Kit
• Flex 13 Motion Capture Camera
• 70mai Smart Dash Cam
• Continental RADAR
• Intel Realsense depth camera
• Sekonix Cameras
• V2X Module For Autonomous Vehicles