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What is IBM IoT Connected Vehicle Insights?

IBM's IoT Connected Vehicle Insights represents a cutting-edge software solution designed for connected vehicles, seamlessly integrating real-time data regarding drivers, vehicles, and their environments to improve the in-car experience. This cloud-based service collects information from various vehicle sensors and utilizes advanced analytics alongside artificial intelligence to uncover valuable insights into driver behavior. By connecting with external cloud resources, such as real-time weather and traffic conditions, it enhances the contextual understanding and situational awareness necessary for optimal vehicle operation. The platform facilitates immediate interactions between drivers, their vehicles, and the surrounding environment, ultimately refining the overall driving experience. With access to this extensive pool of data, connected vehicles can more effectively detect potential safety risks or quality issues and respond without delay. For example, the collision avoidance systems can leverage live updates on weather and traffic to function with greater precision. Furthermore, this specialized SaaS platform provides advanced navigation features, allowing it to anticipate destinations based on the unique driving patterns of each user, thus ensuring a tailored and fluid journey. Consequently, drivers can look forward to not only a safer but also a significantly more enjoyable travel experience, as every aspect of their journey is optimized.

What is Aurora Driver?

Utilizing state-of-the-art hardware and innovative software, the Aurora Driver is designed to fit a variety of vehicle types and applications, allowing us to leverage the benefits of autonomous driving in diverse fields such as long-haul trucking, local parcel delivery, and personal transportation. It is equipped with a comprehensive suite of sensors that collect environmental data, advanced software that determines the safest routes, and a computing system that seamlessly connects both elements with the vehicle. This system is adaptable to various vehicles, ranging from compact automobiles to robust Class 8 trucks, making the Aurora Driver a highly flexible solution. Central to its operation is the Aurora Computer, which acts as the pivotal link between our hardware and autonomous software, facilitating smooth integration across all vehicle models. Our custom-developed sensor ensemble, featuring FirstLight Lidar, long-range imaging radar, and high-definition cameras, works together to generate a detailed three-dimensional representation of the surroundings, granting the Aurora Driver a full 360Ëš awareness in real time. This groundbreaking methodology not only improves safety but also sets the stage for the widespread acceptance of self-driving technology across various transportation sectors. Ultimately, the Aurora Driver represents a significant advancement in the quest to integrate autonomous systems into everyday travel and logistics.

Media

Media

Integrations Supported

IBM Cloud

Integrations Supported

IBM Cloud

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/iot-for-automotive

Company Facts

Organization Name

Aurora

Date Founded

2017

Company Location

United States

Company Website

aurora.tech/aurora-driver

Categories and Features

Categories and Features

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