Edge AI Computers for Autonomous Vehicles

Autonomous shuttle with sensor visualization for Edge AI computing in autonomous vehicles

Rugged In-Vehicle Computers for Real-Time AI Processing, Multi-Camera Integration, and Autonomous Driving Applications

SINTRONES provides rugged Edge AI computers and in-vehicle computing platforms for autonomous vehicle developers, mobility technology providers, and system integrators. Powered by NVIDIA Jetson and Intel processors with supported GPU options, these platforms provide onboard computing resources for AI-based perception, object detection, and sensor data processing.

Designed for demanding vehicle environments, SINTRONES platforms offer flexible camera and sensor connectivity, vehicle communication interfaces, and power management features to support autonomous shuttles, robotaxis, and driver assistance applications.

How Edge AI Supports Autonomous Driving

Autonomous vehicles rely on cameras and sensors to understand their surroundings.

SINTRONES Edge AI computers provide onboard processing resources for compatible AI perception software and vehicle system integration.

Sensor Data Input

Onboard AI Processing

Perception & Analysis

Vehicle System Integration

Cameras, LiDAR, radar, and GNSS provide environmental and positioning data.

Edge AI computers process sensor data locally using compatible AI software.

Compatible AI software performs object detection, environmental perception, and sensor fusion.

Processed data is shared with navigation, planning, and vehicle control systems.

Edge AI Computing for Autonomous Vehicle Applications

Autonomous airport shuttle supported by SINTRONES rugged Edge AI computing

Autonomous Shuttle

Autonomous shuttles operating in airports, campuses, and designated routes require continuous environmental perception and reliable vehicle connectivity. The SINTRONES IBOX-650P-T1 Edge AI computer, powered by NVIDIA Jetson AGX Orin, has been deployed in an autonomous airport shuttle project, supporting multi-camera integration, sensor data processing, and communication with vehicle subsystems through GMSL-2, CAN FD, and Automotive Ethernet interfaces.

Explore the Autonomous Airport Shuttle Case Study

Robotaxi

Robotaxis operate in dynamic urban environments, requiring continuous perception of surrounding traffic, pedestrians, and road conditions. SINTRONES rugged Edge AI computers provide onboard AI processing resources, with GMSL-2 and high-bandwidth Ethernet connectivity on selected models to support multi-camera integration and sensor data processing for autonomous driving applications.

Read How Robotaxis Are Shaping Transportation

Robotaxi interior with digital perception visualization for autonomous driving

Autonomous vehicle detecting a pedestrian at a crosswalk using AI-based object detection

Driver Assistance & Collision Avoidance

Advanced driver assistance systems (ADAS) use cameras and sensors to detect vehicles, pedestrians, and potential road hazards. SINTRONES rugged in-vehicle computers provide computing and connectivity resources for compatible AI-based hazard detection and collision warning applications, supporting data exchange between onboard sensors, warning systems, and other vehicle components. Safety-critical functions require appropriate system-level design and validation.

Explore Advanced Collision Avoidance Technologies