Overview

Log Sim, developed by Applied Intuition, is an advanced simulation tool designed for testing and validating Autonomous Driving (AD) and Advanced Driver-Assistance Systems (ADAS). It utilizes real-world vehicle log data to create synthetic scenarios that replicate actual driving conditions. This approach allows engineers to efficiently analyze and debug issues encountered during real-world tests without needing to conduct additional physical tests. By leveraging log-based simulations, Log Sim helps accelerate development timelines while improving the robustness and safety of AD and ADAS technologies. The tool offers the ability to process large volumes of log data, simulate thousands of driving miles virtually, and provide invaluable insights into system performance. Log Sim significantly enhances testing efficiency by automating and scaling simulation processes, making it a key asset in the development of next-generation autonomous driving systems.

Features and Capabilities

• Real-World Log Simulations: Transforms real-world driving data into simulated scenarios to test ADAS and AD systems.
• Enhanced Debugging: Enables the reproduction of field test issues in a controlled simulation environment, aiding in faster debugging.
• Synthetic Scenario Generation: Automatically creates complex, synthetic driving scenarios from real-world data to facilitate comprehensive testing.
• Machine Learning Integration: Utilizes machine learning techniques to enhance the testing process, expanding the range and accuracy of simulation scenarios.
• Scalability: Processes large-scale log data and simulates extensive driving miles to identify potential issues, ensuring robust system validation.
• Cloud-Based Visualization: Offers cloud-based tools for easy visualization and analysis of simulation results, streamlining the debugging and validation process.
• Intuitive Interface: Features an easy-to-use interface that simplifies the analysis of driving logs, enabling engineers to quickly pinpoint critical events and scenarios.
• Deterministic Testing: Provides deterministic reproduction of real-world issues, ensuring accurate and reliable validation of AD and ADAS systems.
• Integration with Development Workflows: Seamlessly integrates with existing development processes, enhancing efficiency without disrupting established workflows.
• Increased Test Coverage: Allows for the creation of diverse driving scenarios, ensuring comprehensive testing that covers a wide range of driving conditions and edge cases.