IoT Advancements Impact on Autonomous Vehicles – Smarter Driverless Cars Through Cellular IoT Vehicle Telematics

Home/Autonomous Vehicles/IoT Advancements Impact on Autonomous Vehicles – Smarter Driverless Cars Through Cellular IoT Vehicle Telematics

Over the next few decades, autonomous vehicles will continue evolving. The progress we’re making in this market will have a deep impact on our existing infrastructure, vehicle ownership and the whole automotive industry.

 

Autonomous Vehicles and IoT Technologies

Although we can’t purchase a fully autonomous vehicle at the dealership as of today, several manufacturers have semi-autonomous prototypes on the roads already. Tesla and BMW are testing these vehicles in order to bring the first commercially viable vehicle as early as 2019. Multiple self-driving features have already been implemented and are being rolled-out onto these prototypes for rigorous testing. The Internet Of Things, or IoT, will be able to bring cellular technology to this market and become the crucial link between autonomous vehicles and the large networks of data they will need to leverage for autonomy.

Autonomous Vehicles IoT Technologies

Self-Driving Vehicle Challenges & Concerns

As manufacturers get ready for additional features, heavy regulations and public expectations dictate the need for increased safety features. We expect the manufacturers to be fully accountable for any accidents which occur due to the failure of their systems. In addition to this burden, we also impose our fear of relinquishing the wheel to the artificial intelligence.

In order to meet the above mentioned requirements and standards, manufacturers rely on real time monitoring of their fleet. This provides them with data and analytics which allow them to drive improvement, investigations and make adjustments to the following manufacturing procedures.

Cellular Network & IoT Connectivity Requirements

Self-Driving Car IoT Connectivity Network

It may seem that we have networking under control, connecting all these vehicles is no easy feat. The most obvious challenge lies in the fact that vehicles are constantly on the move. Not only would there need to be a constant reliable connection at all time, it also needs to shift as the vehicle is traveling between network boundaries. Securing the transmitted data, especially the one which is used to update a vehicle, is also crucial. Based on these engineering constraints, the most optimal solution is to use the current cellular network infrastructure.

As discussed above, we aren’t yet ready to release the control we have over our cars. This human concern is driving the Original Equipment Manufacturers (OEMs) to equip their vehicles with multiple sensors, detectors, data loggers and more. They’ve developed collision avoidance systems which use side-of-vehicle and front-of-vehicle detection in order to prevent potential accidents. These systems work in real time and have an instant response which is unachievable by a human.

Continuous Data Monitoring & Analytics in Autonomous Vehicles

Some of these systems are already present on current vehicles, it’s extremely important to gather real data from numerous sources in order to make sure they meet the highest standards. For example, Tesla is continuously collecting data about the sensors in their vehicles to make sure that the response is always appropriate. Their best bet, to send reliable packets of data, is to use the existing cellular network. Historically, they also used the same connection to roll-out software upgrades which introduced new features.

It may seem that we have networking under control, connecting all these vehicles is no easy feat. The most obvious challenge lies in the fact that vehicles are constantly on the move. Not only would there need to be a constant reliable connection at all time, it also needs to shift as the vehicle is traveling between network boundaries. Securing the transmitted data, especially the one which is used to update a vehicle, is also crucial. Based on these engineering constraints, the most optimal solution is to use the current cellular network infrastructure.

Tesla Collision Avoidance and Analytics

Preventive Maintenance – Increased Longevity of Connected Vehicles

Vehicle scheduled maintenance is another big topic and improvement of these monitored machines. We all go to the mechanic for inspections and have our oil changed regularly, but the reality is that it’s not the case of everyone across the world. Similar to a doctor checking your vital signs, a fully equipped vehicle would be able to monitor the state of peripherals and request service as needed. We expect this to drastically increase the reliability as well as the longevity of the upcoming driverless models.

IoT Technology Impact on Driverless Vehicle Infrastructure

We still have a long way to go before we can enter an address into our phone and have a vehicle drive us there without our intervention. That being said, we’re already working on the challenges which we hope to address in the upcoming years. IoT technologies will play a crucial role in the connectivity of these fleets and allow their deployment with ease and efficiency.

By | 2017-06-24T22:37:15+00:00 July 7th, 2017|Autonomous Vehicles|Comments Off on IoT Advancements Impact on Autonomous Vehicles – Smarter Driverless Cars Through Cellular IoT Vehicle Telematics

About the Author:

I'm an Electrical Engineer & Entrepreneur. My technical experience has been with fortune 500 companies in the Manufacturing Automation industry. I'm also a Developer & Influencer through my YouTube channel & Platform: EEEnthusiast