AWS IoT FleetWise Features
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With AWS IoT FleetWise, you can collect vehicle data and organize it in the cloud, making the data easier to analyze and use in applications.
AWS IoT FleetWise helps you efficiently transfer data to the cloud using intelligent data collection capabilities. These capabilities allow you to reduce the amount of data transferred by defining rules for when to collect and transfer data based on configurable parameters (for instance, vehicle temperature, speed, or make and model).
Once the data is in the cloud, you can use it for applications that analyze vehicle fleet health. This analysis can help you to more quickly identify potential maintenance issues or make in-vehicle infotainment systems smarter. You can also feed the data into machine learning (ML) models that improve advanced technologies, such as autonomous driving and advanced driver assistance systems (ADAS).
Vision system data (Preview)
You can use AWS IoT FleetWise to easily collect and organize data from vehicle vision systems that include cameras, radars, and lidars. It keeps both structured (object list, sensor metadata, vehicle ID) and unstructured (images, video) vision system data, metadata (event ID, campaign, vehicle), and standard sensor (telemetry data) automatically synchronized in the cloud, making it easier for you to assemble a full picture view of events and gain insights.
When collecting vision system data using AWS IoT FleetWise, you can take advantage of the features and interfaces you already use to collect telemetry data. Get started on AWS by defining and modeling a vehicle’s vision sensors, alongside its attributes and standard sensors. Your Edge Agent for AWS IoT FleetWise deployed in the vehicle collects data from standard CAN-based vehicle sensors (engine temperature, fuel pressure), as well as from vehicle sub-systems that include vision sensors like cameras, radars, and lidars. You can use the same event- or time-based data collection campaign to collect data signals from both standard sensors and vision systems.
In the cloud, you see a unified view of your defined vehicle attributes and other metadata, telemetry data, and structured vision system data, with links to view unstructured vision system data in Amazon S3. Timestamps and campaign and event identifiers keep data automatically synchronized across different formats, simplifying its use in downstream applications and analytics.
Vehicle modeling
Edge Agent
Create an Edge Agent for AWS IoT FleetWise to facilitate communication between the vehicle and the cloud. You can develop your Edge Agent by using the Edge Agent Reference Implementation for AWS IoT FleetWise, a fully functional piece of embedded software designed for vehicle data collection that can run on most embedded Linux-based platforms.
Install your Edge Agent on the vehicle gateway, the telematics control unit (TCU), or other data collection hubs in the vehicle. Visit the Partners page to see a list of reference hardware, which is expected to continue expanding as we validate new reference hardware with the Edge Agent. It’s also straight forward to port the Edge Agent Reference Implementation to your target Linux-based hardware of choice. Find porting information in the Developer Guide.
Your Edge Agent should be able to continually receive data collection schemes from AWS IoT FleetWise and collects data accordingly for transfer to the cloud. With your Edge Agent, you control every step of the process from creation to installation, and you maintain full data ownership and control of proprietary information.
Cloud-based configuration deployment
Global signal catalog
Rules-based data collection
Get started with AWS IoT FleetWise
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