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GNSS GPS IMU INS Sensors - for ADAS and Autonomous Vehicles

GNSS GPS IMU INS Sensors - for ADAS and Autonomous Vehicles

D-GNSS, DGPS, RTK, PPP, SBAS, GBAS, AHRS, Accelerometer, Gyroscope, Magnetometer, Python, fusion, Raspberry-pi 4 Hot & new

Sensors are an indispensable part of Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) Technology. Sensors - like cameras, radar, lidar and ultrasonic are well known to all. These sensors are used to do external environmental perception around the vehicle and in some cases also to do in-vehicle perception.

GNSS (Global Navigation Satellite System), GPS (Global Position System) together with INS (Inertial Navigation System) are used to find the location of the ego vehicle itself. These sensors are used for multiple applications in the ADAS and the AD industry. These applications include but are not limited to:

1. Localization of vehicles on the road

2. To generate ground truth data for sensor perception (radar, lidar, camera) validation

3. To generate ground truth data for sensor fusion validation

4. For validation of various ADAS functions in the deterministic test sites

5. For using the GNSS/GPS highly accurate time - as a reference clock to synchronize (using NTP, PTP or gPTP) multi-sensor systems for algorithm development.

6. In V2X (Vehicle to Other) and V2V (Vehicle to Vehicle) applications.

and many more.......

GNSS/GPS + INS sensors also have multiple applications in various non-automotive fields like Navigation with mobile phones and cars,  in Rail transport - to track locomotives, in aviation - for aircraft navigation from departure to landing, in marine - to track and navigate ships, in Port Automation, Precise Agriculture, Surface mining, Surveying, Drones, Smart Infrastructure application, etc

What you'll learn

  • GNSS (Global Navigation Satellite Systems) in detail together with its role in ADAS and Autonomous vehicle test and development
  • Hands on with GPS sensor and raspberry pi 4 using python to receive real-time GPS data
  • Exploring various applications of GNSS based systems in automotive and non-automotive industry
  • Hands on with 3 axis accelerometer and 3 axis gyroscope with raspberry pi 4 and python
  • GNSS based correction methods - Differential GNSS, DGPS, SBAS, GBAS, RTK, PPP in detail
  • Foundation of accelerometer, gyroscope and magnetometer with mathematical insights
  • Understanding IMU - Inertial Measurement Unit and its importance in INS (Inertial Navigation System)
  • Getting deeper (only theoretical) into GNSS and INS based fusion using Kalman filter based approaches.
  • Details of AHRS (Attitude and Heading Reference System) and Dual GNSS / INS system
  • Multiple case-studies covering various fusion techniques (theoritical) and applications with GNSS and INS
  • Additional reference material in form of research litertures and web-links
  • By the end of this course, you will be confident to use GNSS/INS based sensor system for your ADAS / Autonomous vehicle test and validation in your work.


  • Computer with internet connection
  • Motivation to study and learn new technology
  • (optional) low cost raspberry pi and GPS, IMU sensor for hands on practice.
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