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Checklist for Thinking About Cybersecurity in Connected Vehicles

A comprehensive approach to security is essential for the protection of connected vehicle systems. This article presents a set of security recommendations based on analyzing security risks for each step in developing and deploying AI and other connectivity systems in autonomous vehicles.

The recommendations are intended to be used as a roadmap by vehicle manufacturers, system integrators, suppliers, and other stakeholders to ensure that an end-to-end approach to security is applied throughout the lifecycle of AI components.

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The Last Mile: How the Pandemic Revealed New Applications of Autonomous Vehicles

The Acceleration of Autonomous Vehicle Applications Due to COVID-19

Hint: It’s not focused on personal transportation.

Autonomous vehicles have long been a mainstay of both outlandish fiction and legitimate research, in some interpretations predating the invention of the car itself. By some accounts, full self-driving capabilities would be a major boon in terms of safety and promises to narrow wealth-based gaps in good access to transportation. Perhaps the impact could be as significant as the past adoption of safety bicycles, which expanded the distance one could travel by 3 to 4 times or more, without incurring the costs of owning a horse (or car) and the facilities to care for them.

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Do We Really Want Passengers In Autonomous Vehicles Playing Games?

...Is this a good idea?

The last year or so has seen a growing number of studies exploring the various issues around the attention of passengers in driverless vehicles. The concern is that should the passenger have to regain control, that they will be unable of doing so safely.

Adding growing means of distraction may not seem the most sensible suggestion, therefore, but that's what research from the University of Waterloo proposes via a new system that would allow multiplayer games to be played between occupants of autonomous vehicles.

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Why MQTT Is Essential for Building Connected Cars

The automotive industry is embracing the idea of building a connected car. They see opportunity in using telemetry data from vehicles to create new revenue opportunities, and to build a better user experience. However, implementing a connected car service that can scale to support millions of cars can present some challenges.

For most connected car services, there is a requirement for bi-directional communication between the car and the cloud. Cars will send telemetry data to the cloud and enable apps like predictive maintenance, assisted driving, etc. Similarly, the car needs to be able to receive messages from the cloud to respond to remote commands, like remote lock/unlock door and remote activation of horn or lights.

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Why the Car Industry Needs to Take Lessons From Aviation to Make Autonomous Tech Safe

Before autonomous vehicles become fully autonomous, they were developing a range of driver assistance tools to help us navigate the roads safely and effectively. These tools aren’t always as straightforward as they sound, however, and various studies have illustrated how long it takes a human to regain safe control of a vehicle if they haven’t been concentrating on the road.

While these sorts of challenges are still relatively unfamiliar in a motoring context, they are very familiar in aviation, where difficulties in navigating the human/machine interface have caused numerous incidents. It’s a lesson a recent paper suggests we are not heeding.

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The Problem Is, This Jeeves Can’t Think

Circa 2025. An autonomous BMW sedan with a passenger slows down near a crossing in LA. It has sensed an elderly couple on the pavement waiting to cross the road. A couple of minutes pass by, and both parties remain static. The couple  —  who is actually waiting for their son to pick them up  —  has no clue why the driverless car has come to a halt in front of them. They gesture the car to go ahead even as the passenger fumes in the backseat. But the vehicle has "machine learned" to be polite and careful.

It does not have an alternative course of behavior, unlike the resourceful Jeeves in a PG Wodehouse novel.

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Should Driverless Car Data Be Open to All?

Driverless cars both generate and rely upon huge quantities of data, and there have been understandable concerns raised about the security of that data, the availability of it for insurance and regulatory concerns, and even ownership of it for the greater societal good. It’s on this latter topic that a recent paper from Dartmouth was published.

Autonomous vehicles are generating huge quantities of data as they attempt to make sense of the world around them. Data on traffic, pedestrian movements, other vehicles, and all manner of environmental features are all consumed and absorbed. There is a temptation for companies to keep a tight grip on this data, but governments, citizens, and other groups have a vested interest, too.

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Autonomous Cars, Big Data, and Edge Computing: What You Need to Know

This article is featured in the new DZone Guide to Big Data: Volume, Variety, and Velocity. Get your free copy for insightful articles, industry stats, and more!

The driverless car has been a high-tech dream for decades. Now that broadband connectivity, cloud computing, and artificial intelligence are increasingly available, autonomous cars should go mainstream in the near future, provided certain technical and regulatory milestones are reached. But another issue that must be addressed before self-driving cars can reach critical mass is the issue of data. Specifically, the data analysis and storage requirements of autonomous cars present challenges beyond the capabilities of most current big data solutions.

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The Role of IoT in Improving Both UX and ROI of Automotive Retail

Let's face it; it is a headache for managers to keep track of all the vehicles that are on automotive detail. IoT development services can play a significant role. Any misplaced cars would damage the experience of the customers and can diminish sales figures. IoT applications in automotive retail would provide managers with the ability to enhance customer experience. Even the test drive would be seamless. Thus, IoT has a hand in improving both ROI and UX in just one go.

Not only mobile website development services but automotive companies see massive opportunities in implementing IoT. However, significant challenges are present as well. Finding a clear use, not just quantifying the return on investment (ROI), would be a substantial challenge for IoT professionals. Moreover, IoT would be very significant in a concrete and viable business scenario as it would improve customer experience. We can understand this with respect to automotive retailers.