Kodiak Driver
Kodiak AI’s technology centers on the Kodiak Driver, a unified autonomous driving platform that combines advanced AI-powered software with modular, vehicle-agnostic hardware to enable scalable, real-world autonomy for trucks and ground vehicles. Designed to integrate seamlessly across different vehicle types and operating conditions, the system uses a suite of sensors, housed in field-swappable SensorPods for full 360° perception, deep-learning based perception models to interpret complex environments, forward planning to anticipate changes in the road ahead, and redundant compute, power, steering, and braking systems engineered for safety and reliability in demanding use cases. It supports deployment in commercial long-haul trucking, industrial logistics, and defense ground vehicles, with connectivity and telematics enabling over-the-air updates, remote fleet management, and Assisted Autonomy capabilities that allow human oversight.
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Waymo
Waymo is an autonomous driving technology company that develops self-driving vehicles and operates fully driverless transportation services. Originally created as Google’s self-driving car project in 2009, the company later became an independent subsidiary of Alphabet with the goal of making transportation safer, more accessible, and more efficient through autonomous mobility. Its core technology, known as the Waymo Driver, combines artificial intelligence, high-resolution cameras, radar, lidar sensors, and detailed digital maps to allow vehicles to perceive their surroundings and navigate roads without human intervention. It continuously analyzes traffic signals, pedestrians, other vehicles, and road conditions to determine safe driving actions in real time. Before operating in a new area, Waymo vehicles map roads in extreme detail, identifying lane markings, signs, and intersections, and then combine this information with real-time sensor data to maintain precise positioning.
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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.
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Mobileye
From a variety of ADAS solutions to a self-driving system for autonomous public transport or goods delivery, all the way to consumer AVs. By developing everything from the silicon through to the self-driving system in-house, numerous efficiencies and synergies are unlocked, allowing us to reach AV at scale. From the beginning, Mobileye has developed hardware and software in-house, paving the way for highly efficient hardware, software, and algorithmic stacks at a superior cost-performance ratio. Everything Mobileye develops is safe by design, with a distinct strategy so that the technology can reach the mass market.
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