Self-Driving Cars: The Next Frontier for IoT

The Relation of IoT to the Self-Driving Cars

Self-driving automobiles and the Internet of Things (IoT) are two of our day's most significant technological developments. They both are advancing quickly and have the potential to drastically alter our way of life.

  • What is IoT?

The network of physical items that are implanted with sensors, software, and network connectivity to gather and share data is known as the Internet of Things (IoT). Anything from cell phones to wearable technology to traffic lights can be considered one of these items.

  • What are self-driving cars?

Autonomous vehicles, or self-driving cars, can navigate and drive themselves. They gather information about their environment using a range of sensors, such as cameras, radar, and lidar. An onboard computer uses this information to make decisions on how to operate the vehicle.

  • How IoT and self-driving cars are related?

IoT is essential to the creation and use of self-driving cars. IoT devices make up all of the sensors that self-driving cars utilize to gather information about their environment. These gadgets communicate with the internet and send information to the vehicle’s onboard computer. The computer will then utilize this information to determine how to operate the vehicle.

  • How the Internet of Things Enables Self-Driving Cars

Most people know that self-driving cars utilize sensors to assess their surroundings, but few know that these sensors communicate via the Internet of Things. They collect information about their surroundings using sensors and communicate it to other vehicles and roadside infrastructure. This communication takes place thanks to the Internet of Things, which connects all these gadgets. IoT devices communicate data between devices using Wi-Fi, cellular networks, and other communication protocols. The Internet of Things effectively converts autonomous vehicles into huge sensors capable of receiving real-time traffic updates, precision navigation, and responsive emergency dispatching. They can thus communicate with other vehicles and roadside infrastructure.

A Peak in History

The idea of autonomous vehicles has been around for centuries, but it wasn't until the 1930s that General Motors made a serious attempt to develop a self-driving car. In the 1980s, researchers began developing cars that used LiDAR sensors to detect their surroundings. The 1990s saw a breakthrough in autonomous vehicle development, with two robotic vehicles developed by Daimler-Benz and Ernst Dickmanns driving semi-autonomously for more than 600 miles on a Paris highway. The DARPA Grand Challenge in 2004 was a major turning point for autonomous vehicle development, as it showed that autonomous vehicles could drive long distances in difficult terrain. In 2009, Google began developing its self-driving car, and other major automakers have also been developing their self-driving cars. The development of autonomous vehicles is still in its early stages, but the progress that has been made in recent years is nothing short of remarkable. Autonomous vehicles have the potential to revolutionize transportation, making our roads safer, more efficient, and more accessible.

What is the significance of IoT and Self-Driving Cars?

The Internet of Things can help increase efficiency in various industries, including manufacturing, logistics, and healthcare. Sensors, for example, can be used to monitor machinery and equipment in real-time, allowing any problems to be identified before they create downtime. The Internet of Things can assist to cut expenses in a variety of ways, including lowering energy usage, enhancing asset utilization, and eliminating fraud. Smart meters, for example, can be used to track energy usage in real-time, assisting businesses in identifying and reducing wasteful energy consumption. The Internet of Things can assist to improve customer service in a variety of ways, including providing real-time information on order status, tracking delivery location, and providing remote product support.

A consumer, for example, could use a smartphone app to follow the whereabouts of their shipment and find out when it is likely to arrive. The Internet of Things (IoT) can help to improve safety in a variety of ways, including monitoring the environment for hazards, tracking the whereabouts of people and assets, and providing early warning of potential hazards. Sensors, for example, can be used to monitor air quality and identify hazardous material leaks. The Internet of Things can assist to boost convenience in a variety of ways, including allowing remote access to devices and services, automating chores, and making information easier to discover. A smart speaker, for example, may be used to control a person's home's temperature, lights, and security system.

Innovations & Contributions

  • Argo AI

Argo AI, a startup backed by Ford Motor Company and Volkswagen, is making strides in the autonomous driving business. Argo AI was founded in late 2016 with a tiny seed investment from an unnamed donor. Ford Motor Company said in February 2017 that it would invest $1 billion in Argo AI over the next five years to build a virtual driver system for the automaker's autonomous vehicle. Unlike its competitors, Argo AI concentrates only on self-driving system development and collaborates with car manufacturers on vehicle deployment. Argo AI-equipped cars have made substantial advances in object detection and depth perception using a combination of LiDARs, radars, and cameras. While completely autonomous vehicles are not yet commonplace, companies such as Argo AI, Waymo, and GM Cruise are pushing the envelope with IoT technologies.

  • Waymo

Google started working on self-driving car technology in 2009. After years of research and development, the company launched the Google Self-Driving Car Project in 2010. In 2016, Google spun off the project into a new company called Waymo, which is now a subsidiary of Alphabet, Google's parent company. Waymo has made considerable gains toward completely autonomous rides, thanks to its huge fleet and long-standing experience in the sector. Their recent statement that they would begin offering true self-driving rides in Arizona highlights their success in eliminating the requirement for an engineer in the vehicle. For comprehensive perception, Waymo's self-driving sensor package includes LiDAR, cameras, radar, and microphones. Waymo aspires to achieve level four and level five autonomy, signifying fully autonomous vehicles, by creating their technology and sensors. Waymo occupies a key position in the autonomous driving market as the business that has gone closest to manufacturing a level-five automobile.

  • GM Cruise

GM Cruise, a General Motors company, is a prominent player in the autonomous car business. In 2016 General Motors Co. acquired Cruise Automation to add Cruise’s deep software talent and rapid development capability to further accelerate GM’s development of autonomous vehicle technology. GM Cruise is making strides in self-driving technology with major investments and the second-largest fleet of 180 vehicles in testing. GM Cruise's cars are very sophisticated, with considerable upgrades for autonomous driving, despite a delayed launch of its driverless taxi service. Their partnership with General Motors enables them to build self-driving cars on an assembly line in Michigan while employing machine learning, cloud-based tools, and IoT sensors for intelligent decision-making.

The Future of IoT and Self-Driving Cars

IoT and autonomous vehicles are two technologies that are developing quickly. They will become more and more entangled as they go. Future self-driving vehicles are likely to be considerably more connected and autonomous. Real-time communication will be possible between them, the infrastructure, and the cloud. This will enhance their ability to drive safely and effectively and help them make even better decisions.

IoT and Self-Driving Car Hurdles That May Stand in the Way of Their Future

Technologies like the Internet of Things and self-driving cars require major advancements across some areas. There is a need for advancements in processing power, networking, sensor technology, and artificial intelligence (AI) algorithms. A major challenge that calls for ongoing research and development is ensuring the dependability and safety of these systems. Implementing IoT and self-driving automobile systems can be expensive. The cost of developing and integrating the requisite hardware, software, and infrastructure can be prohibitively high, posing a significant obstacle to mainstream adoption. While costs may fall over time because of technological advances and economies of scale, initial investment and affordability remain significant challenges.

The IoT and self-driving car regulatory framework is continually changing. Risk, cybersecurity, data privacy, and ethical decision-making algorithms are all legal and safety problems that governments and regulatory organizations must address regarding autonomous vehicles. Setting clear norms and standards while keeping up with rapid technological advances is critical, but it may be a complex and time-consuming process. The effective deployment of self-driving cars requires a strong and reliable framework. This includes the installation of modern communication networks, such as 5G, that allow real-time data transfer, as well as sensor systems, GPS, and intelligent traffic control systems. Upgrading current infrastructure to meet these demands can be difficult, especially in locations with limited resources or outdated transportation systems. The public's view and acceptance of IoT and self-driving automobiles are critical to their adoption. Concerns about safety, job displacement, loss of control, and privacy may hinder adoption and trust in self-driving cars. Education, awareness campaigns, and open communication about the benefits and safety precautions can help overcome these issues and establish public trust.

Finally, IoT and self-driving cars have enormous potential to transform transportation and industry. By connecting sensors and facilitating real-time communication, IoT enables self-driving automobiles, improving decision-making and safety. Companies such as Argo AI, Waymo, and GM Cruise are pioneering the advancement of IoT technologies and autonomous driving. However, costs, infrastructural requirements, safety, and public acceptance must all be considered. Overcoming these obstacles via research, innovation, and collaboration is critical for the effective integration of IoT and self-driving cars, opening the way for a disruptive future in transportation.

Posted by  Tatyasaheb Kumbhar
Retina Graphics

An Agronomist and insightful Market Research Analyst in Agriculture, and Allied industries. A market research professional with 3 years of experience in Agriculture, Food and beverages, FMCG, Animal Science, Agricultural Machinery, Chemicals, Service Industry, and other major domains. Worked on over 30 different projects, with the help of research methodologies. Designing business proposals, case studies, and business models for client-sponsored studies. Identifying gaps and opportunities for global companies in the potential market. In addition to this, result-oriented data-driven interpretation of data and making recommendations through understanding the various types of analytical tools including SWOT, PESTEL, PORTER’s Five Forces, and other aspects of consumer analytics.