IT 311 – Sensors used in connected and automated vehicles

 Average 5 out of 5

This course introduces students to principles of sensors (GPS, MEMS, LIDAR, Radar, Ultrasonic, Infrared) used in connected and automated vehicles, locomotion, autonomous mobile robots.

Description:

Course Description: This course introduces students to principles of sensors (GPS, MEMS, LIDAR, Radar, Ultrasonic, Infrared) used in connected and automated vehicles, locomotion, kinematic models and constraints, maneuverability, workspace of autonomous mobile robots and vehicles.

Course Objectives: Upon completion of this course students will be able to:

  1. Explain the concept, history, and the importance of automated (autonomous) and connected vehicles.
  2. Describe the automation levels, the associated technical, social and ethical issues of automated and connected vehicles.
  3. Appraise locomotion methods of autonomous mobile robots.
  4. Report on appropriate wheeled mobile robots and vehicles.
  5. Build kinematic models and constraints and apply principles of mobile robot maneuverability.
  6. Report on mobility design workspace.
  7. Demonstrate the understanding of the material covered by the learning outcomes in Lessons 1-6.
  8. Discus the variety of sensors used in mobile robots and the strategies for extracting information from the sensors.
  9. Assess the pros and cons of different sensors and use them for different real world applications in mobile and vehicles.
  10. Describe the performance characteristics of a sensor.
  11. Discuss the strategies for using uncertain sensor input to guide the robot's behavior.
  12. Apply Android Software Operation and sensors technology to create a software tool kit.

This material is based upon work supported by the National Science Foundation under Grant No. 1400593.

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Classification:
Connected and Automated Vehicles
Grid Interface (Power and Communications)
Integration, Networking, and Communications
Product Lifecycle:
Pre-production: Research, Design, Development, Testing, and Tooling
Resource Type:
Classroom Activity
Course
Exam
Homework
Lab Activity
Lesson Plan
Syllabus
Institution:
Jackson State University
Author & Title:
Dr. James A. Ejiwale, Professor
Date Developed:
Tuesday, May 17, 2016
Keywords:
Sensors,GPS,MEMS,LIDAR,Radar,Ultrasonic,Infrared,automated vehicles,connected vehicles,autonomous vehicles
Education Level:
Undergrad Students (15-16)
Audience:
Educators