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Understanding Autonomous Navigation: Leveraging Ansys AVxcelerate

Overview

Training perception systems for autonomous navigation requires vast, diverse, and labeled sensor data—something real-world testing can’t always provide due to cost, safety, and edge-case limitations.

This webinar introduces how Ansys AVxcelerate enables physics-based simulation of camera, radar, and LiDAR data—offering scalable, customizable, and high-fidelity datasets for AI model training. Learn how synthetic data accelerates development, covers rare scenarios, and integrates easily into your existing workflows.

Focused Industries

  • Academics
  • Aerospace & Defence
  • Automotive

Who Should Attend

  • AI/ML Engineers working on autonomous perception systems
  • Verification & Validation Engineers focused on system safety
  • Robotics and Autonomous Navigation R&D professionals
  • Systems Engineers building sensor-driven applications
  • Academic researchers and students in robotics, AI, or vehicle autonomy

Key Highlights

  • Understand the core challenges in real-world data acquisition for autonomous systems
  • Explore how physics-based simulation enables scalable, high-fidelity synthetic datasets
  • Learn techniques to simulate extreme and edge-case scenarios with domain randomization
  • See how AVxcelerate integrates into your existing development and simulation ecosystems
  • Gain insights into modeling and validating camera, radar, and LiDAR sensor performance
CADFEM India
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