Applied Intuition Vehicle OS
Applied Intuition Vehicle OS is a scalable, modular platform that enables automakers, commercial fleets, and defense integrators to develop, deploy, and update comprehensive vehicle software, hardware, and AI applications across all domains, from ADAS and infotainment to autonomy and digital services. The on-board SDK provides embedded real-time OS, drivers, middleware, and reference compute architecture for safety-critical and consumer‑facing functions, while the off-board platform supports cloud-based data logging, remote diagnostics, OTA vehicle updates, and digital twin management. Developers work within a unified Workbench environment featuring integrated build and testing tools, CI pipelines, and automated validation workflows. It bridges vehicle intelligence across ecosystems by combining autonomy stacks, simulation suites including vehicle dynamics and sensor simulation, and a vibrant developer toolchain.
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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.
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DriveMod
DriveMod is Cyngn’s full-stack autonomous driving solution. It integrates with off-the-shelf sensing and computing hardware to enable industrial vehicles to perceive the world, make decisions, and take action. DriveMod has been engineered to integrate smoothly into your existing workflows, enabling you to easily program vehicle routes, loops, and missions. In short, if a human driver can do it so can DriveMod. Safely bring autonomous capabilities to any commercially available vehicle through a retrofit. Drivemod’s flexibility ensures heterogeneous fleets operate smoothly regardless of vehicle type or manufacturer. Our AI software combines with leading sensors and computing hardware to create capabilities that far exceed that of human drivers. DriveMod can detect thousands of objects, propose thousands of candidate paths, and then navigate the optimal route — all in fractions of a second.
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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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