Course Outline

Introduction

  • What is intelligent driving, and why is it used?
  • Intelligent driving versus traditional driving methods
  • Overview of intelligent driving features and architecture
  • Navigating the intelligent driving interface and workspace for government

Understanding AI and Multi-Sensor Information Fusion

  • The lifecycle of an intelligent driving session
  • AI and multi-sensor information fusion in intelligent driving
  • Creating and importing 3D files for use in intelligent driving

Driving Skills and Techniques

  • Practicing essential driving skills and techniques
  • Adjusting the settings of the driving environment
  • Measuring, tagging, commenting, and marking up driving data

Driving Scenarios and Situations

  • Practicing various driving scenarios and situations
  • Identifying and responding to potential hazards and risks
  • Following and applying road rules and regulations
  • Navigating complex and dynamic driving environments

Driving Performance and Evaluation

  • Analyzing and evaluating driving performance, behavior, and feedback
  • Creating and demonstrating animations of driving sessions
  • Generating and viewing images and videos from driving sessions
  • Conducting clash detection tests and verifying the integrity of driving sessions

Driving Integration and Application

  • Integrating learned knowledge and skills with real-world driving situations and challenges
  • Collaborating with other drivers and instructors
  • Obtaining and creating material estimates for driving sessions
  • Developing and animating driving timelines, and validating driving schedules

Troubleshooting

Summary and Next Steps

Requirements

  • An understanding of artificial intelligence (AI) concepts and principles for government applications
  • Experience with 3D design software such as AutoCAD, Revit, or 3ds Max
  • Basic programming experience (optional)

Audience

  • Developers
  • Architects
 21 Hours

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Price per participant

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