Audience
Engineers and researchers needing a tool to develop, test, and validate autonomous vehicles, UAM, and maritime systems in realistic virtual environments
About MORAI
MORAI offers a digital twin simulation platform that accelerates the development and testing of autonomous vehicles, urban air mobility, and maritime autonomous surface ships. Built with high-definition maps and a powerful physics engine, it bridges the gap between real-world and simulation test environments, providing all key elements for verifying autonomous systems, including autonomous driving, unmanned aerial vehicles, and unmanned ship systems. It provides a variety of sensor models, including cameras, LiDAR, GPS, radar, and Inertial Measurement Units (IMUs). Users can generate complex and diverse test scenarios from real-world data, including log-based scenarios and edge case scenarios. MORAI's cloud simulation allows for safe, cost-effective, and scalable testing, enabling multiple simulations to run concurrently and evaluate different scenarios in parallel.
Other Popular Alternatives & Related Software
Ansys VRXPERIENCE Driving Simulator
Discover an open, scalable and modular virtual driving simulator that enables testing against a variety of objectives and performance requirements. Ansys VRXPERIENCE Driving Simulator Powered by SCANeR™ enables you to assemble scenarios, test software, consider vehicle dynamics and experience sensors within a virtual driving environment. It enables a fully virtual driving lab for analyzing performance results. VRXPERIENCE Driving Simulator offers an immersive simulated test-drive experience set within a representative world. Perform exhaustive safety assessments to drive millions of virtual miles in days and accelerate development by 1,000x compared to physical road-testing. As passenger automobiles become more digitalized and more autonomous, they require a wide range of advanced technologies that include sensors, such as cameras, radar and lidars, as well as embedded software supporting automated control systems.
Learn more
Wayve
Wayve is an autonomous driving technology platform that develops AI foundation models to power next-generation self-driving vehicles through its Embodied AI approach. Wayve’s core innovation is a self-learning “AI driver” that enables vehicles to perceive, predict, and navigate complex real-world environments by learning from experience rather than relying on hand-coded rules or high-definition maps. Using primarily camera data and deep learning, the system builds a general-purpose driving intelligence that can adapt to new roads, cities, and vehicles with minimal retraining. Wayve’s mapless, hardware-agnostic architecture allows automakers to deploy advanced driver assistance and autonomous capabilities through software upgrades, supporting automation levels from L2+ to L4. It is designed to learn continuously from real-world and simulated data, enabling safe, natural driving behavior and improved handling of unexpected situations.
Learn more
Apollo Autonomous Vehicle Platform
Various sensors, such as LiDAR, cameras and radar collect environmental data surrounding the vehicle. Using sensor fusion technology perception algorithms can determine in real time the type, location, velocity and orientation of objects on the road. This autonomous perception system is backed by both Baidu’s big data and deep learning technologies, as well as a vast collection of real world labeled driving data. The large-scale deep-learning platform and GPU clusters. Simulation provides the ability to virtually drive millions of kilometers daily using an array of real world traffic and autonomous driving data. Through the simulation service, partners gain access to a large number of autonomous driving scenes to quickly test, validate, and optimize models with comprehensive coverage in a way that is safe and efficient.
Learn more
Cognata
Cognata delivers full product lifecycle simulation for ADAS and autonomous vehicle developers. Automatically-generated 3D environments and realistic AI-driven traffic agents for AV simulation. Autonomous vehicles ready-to-use scenario library and simple authoring to create millions of AV edge cases. Closed-loop testing with painless integration. Configurable rules and visualization for autonomous simulation. Measured and tracked performance. Digital twin grade 3D environments of roads, buildings, and infrastructure that are accurate down to the last lane marking, surface material, and traffic light. A global, cost-effective, and efficient architecture built for the cloud from the beginning. Closed-loop simulation or integration with your CI/CD environment are a few clicks away. Enables engineers to easily combine control, fusion, and vehicle models with Cognata’s environment, scenario, and sensor modeling capabilities.
Learn more
Integrations
Company Information
MORAI
Founded: 2018
South Korea
www.morai.ai/
Videos and Screen Captures
Other Useful Business Software
$300 Free Credits to Build on Google Cloud
Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
Product Details
Platforms Supported
Windows
Linux
Training
Documentation
Live Online
Videos
Support
Online
