5 Connectivity Trends That Will Shape the Future of the Automotive Industry

Innovation is already behind the wheel of the modern automobiles. Yes, smart connectivity is now shaping the automotive sector in a never before way. While some of these technologies are already on the verge of becoming mainstream, there are other technologies that are just on their nascent state and are on the making. Most automotive management services predict that together these technologies will shape the future of the connected automobiles of the future.

Here are the 5 trends that will shape the future of the connectivity in automotive industry.

1. Self-driving cars

Self-driving cars that can run on the road without the intervention of the driver behind the wheel is already a reality with several automakers having come with their respective models of such cars. Already out through several successful test-runs Driverless cars truly holds the future of the automobile in the world. But according to expertise of leading automotive management services, driverless cars in spite of being already a reality, still a decade or so is required for such cars to become public and hit the road as regular vehicles.

2. AI-powered car infotainment systems

The infotainment systems of the modern cars are increasingly getting powerful and responsive and already they are all apt to respond to most regular commands including voice commands. The AI-powered virtual assistants will rule the future car infotainment systems of the cars to respond to passengers and driver in more responsive ways. AI is supposed to be introduced in the car infotainment systems of the future cars in just one or two years from now.

3. Blockchain-Powered Maintenance and Repair

We all are aware how the counterfeit car parts cause performance failure and in the long run damage vehicles. But as of now, in many countries to prevent such counterfeit parts entering the market there is no trusted system in place. In this respect, Blockchain based maintenance and repair mechanism can really play a revolutionary role in authenticating car parts. Blockchain which as a distributed ledger system allows no deletion or tampering of data while offering open and widespread access to data can actually help to authenticate car parts through an easily accessible distributed ledger of car parts.

4. Vehicle-to-Vehicle Connectivity

Vehicle to Vehicle connectivity commonly referred to as V2V technology allows cars on the road sharing information and keeping in touch with each other. On the road, a car can share information concerning speed, traffic, road conditions, any dangerous threats, etc. Automotive management services maintains that such V2V communication not only dramatically improves car safety and security it also actively helps cars avoiding routes that may take longer to reach the destination because of the heavy traffic. Already some cars are having a better in-car communication system and there are already highly equipped fleet management systems in place. All these together will shape the fully equipped Vehicle to Vehicle connectivity system of the future.

5. AR powered maintenance

Augmented Reality technology which already penetrated many industries and niches because of the unique capability of integrating the digital interaction to the real world around. Just like finding the digital game character of Pokemon in a popular AR game like Pokemon Go in an AR powered vehicle repair and maintenance environment the servicemen can render their services with guidance from a digital interface showing each and every part of the car.

A service engineer being able to see the entire car starting from the car seats to the interior features to the engine and bonnet can easily have a guided experience in repairing the entire car. This will help the car industry saving huge on maintenance and services. For customers also, this will ensure more precision, timely service and longer durability of the vehicle.

Driver-Less Cars – Are They the Future?

Even though we are now well into the computer age, people still find it hard to comprehend that autonomous driver-less cars that resemble ‘Kit’ in Knightrider or the Batmobile in Batman, with their futuristic ability to maneuver themselves, are a part of our new reality. Yet for almost a decade Google, the internet search giant, has been busy bringing this very concept onto American roads. Google driver-less cars have now completed 750,000 miles on the road without the occurrence of any major incident and the company announces with confidence, that driver-less car technology, at least as far as cars on the highway are concerned, is a reality. They are confident that their cars can handle just about any scenario that crops up on the highway. Driver-less car technology has become hot news, every major car company is involved in research in this area. Now Google are trying out their driver-less car technology in towns and cities, admittedly with a little less success than they have had on the highway.

The solution that occurs to most people when driver-less cars are mentioned is that it must be some kind of v2n solution where vehicles are directly communicating with the net through fixed nodal points all over the city, that can track every car, and keep the traffic going by diverting and directing traffic so that everything runs smoothly. This kind of system would be a natural precursor to a driver-less car system. Yet Google has taken the diametrically opposite path by relying almost completely on sensors within the car that interact and respond to the outside world, these sensors together with intensive mapping applications and GPS (although at present GPS is only good to 10 metres or so) are used in a combined operation to guide the vehicle. This is probably because a network connected driver-less car solution would involve numerous repeaters and boosters and would be prohibitively costly in terms of power consumption, infrastructure and bandwidth usage. Google should know! Yet the technology that Google uses does not come cheap either, coming in at something like $100,000 give or take a few thousand dollars, this does not make it a choice for the man on the street. Apart from this, the emphasis placed on input from sensors to maneuver the vehicle, also makes the technology hugely complicated. The prospects for seeing driver-less cars on city and town streets in the near future do not look too bright right now although they will probably soon be a common sight on the highway.

Now an Indian company, Trigon, claims to have invented a new driver-less car technology that will cost a fraction of the Google driver-less Car System and will work almost flawlessly in virtually any conditions. Any successful driver-less car technology will require split second timing and excellent co-ordination and response times in order to be able to self maneuver under normal traffic conditions. Rather than trying to solve the problem through loading up with a huge number of sensors as in the Google, Mercedes and Toyota driver-less car systems. The driver-less car solution designed by Trigon uses LIDAR mapping through diffuse laser screening of the surroundings, and a minimum number of small cameras. Detailed information gained about the route in this manner is stored in the cars computers. This means that a car would first have to be driven over a given route before it is able to drive that route on its own. It should be mentioned here that the efficiency and accuracy of 3D LIDAR mapping has kept pace with computers as they have improved in performance. It is therefore now possible to achieve 3D mapping in what amounts to real time. However, the company soon came to the conclusion that using only cameras and LIDAR output would be time consuming, inaccurate and lack consistency; some other solution would have to be found. This is where Trigon has made a breakthrough. The reasoning behind the new Trigon driver-less technology is simple; all cars have brake lights, all cars have indicators, insurance, number plates and so on. Why not accept the fact that driver-less car technology is here, why deny the existence of the technology?

Basically what this means is that since the technology does exist and has been proven to exist, why not adjust infrastructure to accept this fact. What Trigon is suggesting is that all vehicles such as cars, buses, bikes etc., irrespective of whether they are equipped with driver-less car technology or not, be compulsorily equipped with the latest RFID (Radio Frequency Identification Tag) tags that are capable of relaying real time information. These tags will function vehicle to vehicle and not in vehicle to network mode and therefore will not impact on communications or take up unreasonable amounts of bandwidth. In fact precisely these kinds of RFID tags are being used to transport nuclear materials. These advanced RFID tags can monitor temperature, pressure, humidity and the state of the sealing on nuclear packaging and can be read from a hundred metres away without line of sight. The RFID tags that Trigon will be using give the dimensions, weight, orientation and speed of the vehicle, no other information will be given thus preserving privacy. The RFID tags can be read from 100 metres away (more if needed) without line of sight and run off the car battery supply using negligible amounts (a few millwatts) of current. What this means is that any car equipped with Trigon driver-less car technology would have a 3D picture of the traffic immediately around it in real time, giving the dimensions, speed, weight and line of approach of these vehicles. These RFID tags would cost less than $20 to install and if they are installed in all cars would make driver-less technology a cake walk. It would be easier and less complicated than the systems used by the Post Office to sort through letters based on zip codes or even the baggage handling machinery at airports. This is because instead of sensors collecting information and analyzing it, all relevant information to maneuver the vehicle would come to the vehicle itself, it is then a simple question of using software based on old fashioned Newtonian laws of motion to maneuver in the correct direction at the appropriate speed. The technology allows for up to 2000 RFID tags to be read simultaneously, which is overkill because cars on the road will interact at the very most with eight other vehicles in their immediate vicinity at any given time. Further, because of the limited amount of information being conveyed, the problem of clogging up bandwidth does not arise it is a non sequitur. What this means in effect is that using this system a jump start in getting driver-less car technology on the roads is possible. Cars can opt to install the technology or not, but whichever cars do opt for the system will have a system that works.

This is not a new precedent, for instance when motor cars were still a novelty, it was found that the available roads were too difficult for them to maneuver on, this resulted in people campaigning for the ‘Good Roads Movement’ with the result that the U.S. Government started allocating funds to build motor-able roads, the rest is history. Cell phones had a similar experience, it was the putting up of numerous towers and repeaters that made cell phones and anywhere in the world communication, a success. Today cell phones are as ubiquitous as clothing.

The advantages of implementing such a driver-less car system are numerous, starting off with safety, economy, savings in time and practically maintenance free driving. This is because the cars use Newtonian laws of motion, where it is necessary to know the loaded weight of the car at any given stage in order to calculate the appropriate speed at which to travel, thus the system has a fair idea of what the ‘normal’ response of the car should be, any deviation from this standard performance would be noted, analysed,reported and hopefully rectified. Another huge advantage of the system is the tremendous savings made in fuel due to the efficient stopping starting and running of the cars. Traffic jams would be a thing of the past and as a result large amounts of fuel would be saved. The preferred platform of the driver-less car system are hybrids like the Toyota Prius or even all electric cars like the Tesla.

It is time for the U.S.A to once again lead the world and set the pace in path breaking technologies, driver-less car technology might be one such technology that can be gainfully implemented.

Self-Driving Cars: Future of Authentication Protocols

The search for completely autonomous cars is like “holy grail”. Biomater system and artificial intelligence have helped automakers deploy and develop self-driving and connected vehicles.

The self-driven cars promise future roads without any accidents. Making a new mobility ecosystem resilient and secure means battling with various cybersecurity issues, as different innovations expose providers, automakers, and passengers to a data breach.

Data challenges

A large amount of data will be available which present opportunities and challenges pertaining to privacy concerns, data security, and data analytics. A secure authentication is required to tackle security issues.

Let’s get deeper into the challenges posed by this new technology i.e. Self Driving Cars.

Data Security

Data security can suffer various security threats when self-driven vehicles will dominate the personal mobility. Some hackers and authorized parties can capture the data, instigate attacks and alter records. There are chances that they could provide bogus information to drivers or use denial-of-service attacks.

This shows that the system security will become the quintessential issue for the transportation systems along with successful deployment of uniting sensor based vehicles.

Security system that can protect against such threats includes data sanitization (deleting the identified data), and data suppression (decreasing sampling frequency). They can aggregate data probably within the vehicles instead of having the vehicle transmit the large quantities of raw information. They could leverage vehicles authentication, tamper-proof hardware, encryption and real-time constraints.

Upcoming Threats to Personal Privacy

With the increase in the use of an autonomous and connected vehicle, maintaining individual security within the transportation system has become more challenging. Even though the increase in the use of tracking, sensing, and evaluation of real-time behavior creates new privacy issues, the advantages of vehicles communication technologies and sensors have made them appealing pursuit for stakeholders.

Data Aggregation and Analytics

Most probably, individual privacy is at risk with the collection of public location data than by aggregation of information with their personal data. Currents laws are not adequately employed to address new technologies and data industry.

Consumers due to privacy reasons can advocates for more transparency among data brokers and revelation of the collected data. Some of the issues that are required to be resolved are:

Security

Establish risk-focused control on the most sensitive assets along with optimized cost.

Vigilance

Create monitoring solutions that can aim at critical business processes. Integrating data can help them with context-rich alerts to create a streamlined process.