Transportation
Autonomous Driving Mission
STAR CLONE provides advanced simulation for autonomous missions, optimizing sensor performance, environment modeling, and vehicle calibration, while streamlining algorithm testing to ensure safer, more efficient autonomous systems.
Simulator For
AutoDriving.AI
A Simulator for Autonomous Driving creates a virtual environment to test and refine autonomous vehicle systems. It replicates real-world conditions, enabling safe, efficient development and validation of driving algorithms without physical road testing.
Sensor Simulation
Environment Modeling
Algorithm
Train & Testing
Challenges We Focus On
Metrics Scenario
Sensor Simulation
Realistic Simulation Scene
START CLONE evaluates autonomous vehicle performance by analyzing metrics like reaction time, collision risk, and path accuracy, helping engineers optimize algorithms before real-world deployment. simulates diverse driving conditions, including urban streets, highways, weather, and traffic patterns, ensuring comprehensive testing for autonomous vehicles in various real-world scenarios with varied visibility and traffic conditions.
START CLONE provides high-fidelity sensor simulations (LiDAR, radar, cameras) in diverse conditions, enabling efficient testing and training of autonomous vehicle perception algorithms without costly real-world trials.
START CLONE provides scenarios that are more realistic than you can imagine, and can provide basic model training and testing as well as cluster management to provide real-time services. Acquiring real-world data, reproducing the scene in the server, and packaging and transmitting the scene to the user end, each step challenges the limits of existing technology.
Benefits. Will Get
Enhanced Perception Accuracy
START CLONE mimics real-world sensor data (LiDAR, radar, cameras) with high fidelity, allowing for precise testing of perception algorithms.
This ensures that autonomous systems are accurately tuned to detect obstacles, other vehicles, and road features under diverse conditions.
Realistic Environment Modeling
START CLONE replicates dynamic driving environments, from urban streets to highways, under various weather and lighting conditions.
This comprehensive testing ensures that autonomous vehicles perform reliably across different real-world scenarios, reducing unexpected behavior during actual deployment.
Optimized Algorithm Development
START CLONE’s ability to simulate complex driving situations accelerates algorithm testing and refinement.
Developers can iterate and fine-tune decision-making and control systems in a controlled virtual environment, speeding up development and reducing the cost and risks of real-world testing.