In a quiet district, an autonomous electric vehicle glides up to the curb, pauses, opens its doors, and merges back into traffic, no driver, no drama. This is the promise of autonomous shuttles: predictable routes, frequent stops, and a fleet that can be monitored in real time.
To make that possible at scale, the vehicle needs an on-board computing core that can process sensor data, provide a complete public transportation service and support split-second decisions.
Autonomous mobility transportation represents the convergence of intelligent mobility, AI computing, and sustainable transportation. Through collaboration with ecosystem partners such as fleet management, autonomous driving technology, and parking management technology providers, ASUS supports these next-generation mobility systems by providing the essential computing infrastructure and AI platforms that power autonomous operations.
At the core of these solutions are ASUS industrial computing platforms and edge AI systems. Our industrial PCs serve as the onboard computing engine for autonomous vehicles, enabling real-time processing of data from cameras, sensors, and vehicle systems. These platforms run ASUS AI models that support key capabilities such as risk scenario detection, passengers recognition, and environmental awareness to ensure safe and reliable autonomous operations.
ASUS also brings additional intelligence to the transportation system through computer vision technologies. AI-powered cameras deployed both inside and outside vehicles can perform functions such as passenger counting, traffic monitoring, and passenger safety. This data provides valuable insights that help transportation operators to monitor their fleet, provide a complete service and enhance passenger safety.
ASUS & Navya Autonomous Shuttle Development
That’s where the collaboration between Navya, a French autonomous mobility company founded in 2014, and ASUS comes in. Together, we are investigating the integration of ASUS edge AI computing into Navya’s EVO3 autonomous shuttle platform to help enable reliable operations in smart-city and public-transport environments.
The EVO3 is an all‑electric, bidirectional autonomous shuttle designed for repeatable, low‑speed routes in smart-city districts, campuses, and public-transport feeder services. It can operate at up to 25 km/h in autonomous mode and is engineered for everyday constraints, tight spaces, frequent stops, and complex site layouts, with features such as four-wheel steering and the ability to handle remote operation services. For operators, it is built for practical duty cycles, delivering 10 hours of operation depending on conditions.
On the autonomy side, Navya Drive® provides the complete Autonomous Driving system that supports perception, planning, and vehicle control in real time. A separate supervision and fleet-operations layer helps teams oversee multiple vehicles at once, monitoring live status, receiving alerts, accessing video context when needed, and dispatching or adjusting missions to the vehicles remotely. The overall design also emphasizes operational safety through layered safeguards, including redundancy in critical functions such as braking, steering, and obstacle detection, enabling a controlled safe stop or minimum risk maneuver if required.
To package those capabilities in a solution with high level of services, hour after hour, stop after stop, autonomous shuttles need more than sensors and driving software. They need a rugged, high-performance computing platform inside the vehicle to support the service itself and transform the operation into a smart and data-oriented service. This hardware must be able to fuse large volumes of sensor data, run AI workloads in real time, and respond in milliseconds—without relying on a constant connection to the cloud. In other words, the shuttle needs an on board “brain” that keeps analyzing and making safe, consistent decisions even when network conditions change.
Through collaboration with Navya, ASUS is testing its ASUS IoT PE5100D, together with ASUS AIS software, as a high-performance central computing core on the EVO3 platform. The PE5100D is designed to replace Navya’s existing hardware compute capabilities for operation technologies by delivering additional processing headroom for passenger services and monitoring workloads and enabling smarter edge operation through AIS. The integration is currently in the testing phase, an important step toward validating in-vehicle performance and robustness.
Designed for transportation-grade environments, the fanless PE5100D combines performance with real-world durability. It is built to keep running reliably in tough conditions, such as heat, cold, vibration, and unstable power, and offers a wide range of built-in ports to connect the shuttle’s sensors, including cameras, radar, and LiDAR (laser-based distance sensors that create a 3D view of the surroundings), as well as communications modules and other on-board systems. The result is a compute foundation intended to help autonomous shuttle fleets operate more reliably, and scale more easily, from controlled pilots to everyday services.
Navya’s experience from real‑world deployments in markets such as Japan provides valuable operational insights for the collaboration. Autonomous shuttles have been used in a range of practical scenarios, from connecting elderly residents with essential services in local districts to supporting rural mobility on routes linking municipal buildings, schools, and community facilities. These pilots demonstrate how autonomous vehicles can function reliably in everyday environments with frequent stops, tight layouts, and diverse passenger needs.
Building on this operational background, the testing of the ASUS IoT PE5100D into the EVO3 platform is the next step toward enabling more capable, more scalable autonomous‑shuttle operations. The goal is to ensure that ASUS edge AI computing delivers the robustness, responsiveness, and in‑vehicle performance required to support future deployments with higher reliability and greater autonomy.
ASUS continues to push the boundaries of what edge AI can achieve in demanding transportation environments. This collaboration underscores the company’s commitment to enable safer and smarter autonomous‑shuttle operations and accelerate the adoption of intelligent mobility solutions worldwide.
Read more here:
Click here for the AI City 2026 Media Kit
To learn more about AI Cities, please visit: AI City: The Next Stage in the Evolution of Smart Cities
About ASUS
ASUS is a global technology leader that provides the world’s most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere. With its team of 5,000 in-house R&D experts, the company is world-renowned for continuously reimagining today’s technologies. Consistently ranked as one of Fortune’s World’s Most Admired Companies, ASUS is also committed to sustaining an incredible future. The goal is to create a net zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us.
