Automotive 2.0: The new road ahead to autonomous vehicles

first_imgWe are witnessing the rebirth of the automobile. It’s quite remarkable if we press pause to think about it. One could argue that much hasn’t changed since the first true gasoline-powered automobile was patented in July 1886 by Karl Benz. Now in the early 21st century, Google (now Waymo), Tesla, Mercedes-Benz, BMW, Lexus, Ford, Volvo among others, are racing to market self-driving vehicles that will redefine our relationship with automobiles and the entire transportation industry as we know it.2021: That’s the year auto manufacturers have promised fully autonomous vehicles on the road. Unless you ask Ford, then that year is 2026. With the increasing level of activity in the autonomous space, and more companies, products, and partnerships expected to enter the fray, mapping the ecosystem proves a complex and ongoing commitment.See also: A pre-CES look at autonomous vehicles in 2017I spent the better part of 2016 and 2017 sifting through the entire ecosystem of self-driving manufacturers, automakers, startups, and investments to get an understanding of the companies and the trends driving the future of self-driving vehicles.The race to 2021 (or 2026) is officially the latest tech gold rush. With the incredible flurry of activity, that date is also ambitious considering the sheer volume of technological, societal and also governmental challenges to solve between now and then. The opportunities for innovation and invention are great for anyone working on those fronts. This is one of the reasons I set out to chart the territory.Among the mammoth challenges I faced in doing so was the process of capturing and organizing a constantly evolving industry of incumbent, new and emerging players. The resulting trend report, “The Race to 2021: The State of Autonomous Vehicles and a ‘Who’s Who’ of Industry Drivers,” tracked close to 80 companies in 11 distinct categories across 19 market applications.2021 or 2026, access to autonomous vehicles by the masses overnight is not as close as it sounds. Initial applications for self-driving cars will be strewn across vertical applications, limited to fixed public transit courses, university and business campuses, warehouses, military applications, construction, farms and fields, and inner-city transportation services where infrastructure and pedestrian laws have been adapted for safety. Over time, self-driving applications will expand as technology advances and prices come down. Initially, we identified 19 applications, but autonomous technology creates a new platform for inventors and entrepreneurs to define new mobile services…not just cars that drive themselves.To get from where we are today to the future, it helps to see the roads clearly. There are some givens but more so, many unknowns on this journey. It takes perspective, imagination and tremendous expertise to pave new roads. There are many challenges and opportunities ahead.Vehicles as Platforms – Opening up new revenue opportunitiesStartups and technology leaders are driving the accelerated innovation in autonomous technology, forcing incumbents to partner, acquire, or ramp up R&D to compete (e.g. BMW and Baidu; Fiat Chrysler and Waymo, an Alphabet company; and GM and Lyft). Toyota, Intel, and Mercedes-Benz have dedicated business units. Automakers are essentially getting into the software/hardware and utility business as future profits will depend less on manufacturing, selling and financing automobiles and more on monetizing driving and the free time passengers will have on their hands (instead of a steering wheel).Progressive automakers are repositioning their future foci away from just “making cars” to becoming mobility services and sharing companies, i.e. BMW, Daimler, Fiat-Chrysler, Ford, GM, Mercedes, Nissan, Tesla, VW, et al. To this trend, ride/hail companies are also attracting investments from traditional automakers to develop next-generation autonomous services.Cities must become smarter While automakers are racing to 2021 for the release of autonomous vehicles, hurdles beyond technology are also tied to the lack of city infrastructure, modernization and policies.Collaboration accelerates innovationIn what’s viewed as an atypical move, several competitive automakers are sharing mapping and environmental data to expedite the arrival of self-driving cars.Without doing so, automakers need to invest in costly third-party or proprietary technology, which requires thorough testing and results in longer development timelines.As Automotive 2.0 approaches, new jobs are being created along the way Leading automakers are struggling to attract and retain expertise and are “acqui-hiring” startups through acquisition, partnership or investment to get talent and accelerate development. Companies are racing to hire those proficient in AI, machine learning, robotics, and deep learning. Since the entire idea of the car is evolving, the design of cockpits, services, and interiors overall are ripe for innovation. This will create a need for designers, UX/UI specialists, and architects to re-imagine passenger experiences.3D mapping literally paves the way to the future of self-driving vehiclesMapping software has emerged as its own category among technology providers in the autonomous space, as 3D terrain mapping is a critical component to the effectiveness and safety of self-driving cars as they navigate their environments. Every curb, lane marking, traffic lights and signs, buildings, intersections, services, must be rendered in 3D to create a digital network and location index. Doing so, gives cars the ability to see the road in all conditions.Cars will become intelligent and create a virtual hive mind to improve transportationUnlike the interoperability conundrum facing the IoT industry, autonomous cars will be able to talk to one another (Vehicle-to-Vehicle aka V2V) to share road and environmental data. For example, cars will be able to report obstacles or hazards to following vehicles to optimize routes and prevent accidents. Additionally, Vehicle-to-Everything (V2X) capabilities with allow for the exchange of information between vehicles and infrastructure and application services.Vehicles become data centersEvery aspect of the vehicle and its environment is generating unprecedented levels of data. Its estimated that one car will use 4,000GB of data per day. Machine learning, AI, deep learning, and data science overall, is need to translate everything into value. This will lead to improved or new services, increased safety, new conveniences, better parking, greater fuel efficiency, faster delivery times, cheaper insurance, integrated payment systems, personalized experiences, and disruptive innovation.Most consumers are not ready to give up drivingConsumers are skeptical and even wary of robot cars. Many believe that self-driving cars are inevitable but are content with driving. Concurrently, experts and consumers are concerned about the ethics of artificial intelligence in times of dire need.To help, automakers are ramping up their respective PR machines to introduce a more approachable narrative. New vehicles are also shipping with early driver-assist semi-autonomous features such as emergency braking, lane changing, self-parking, etc., to ease consumers into the future one feature at a time.Self-driving features is not enough to earn consumer trustConsumers are also wary of autonomous cars because they are not human. Consumers cite trust issues, fear, and ethics as reasons they have a hard time embracing the future. Cars become machines rather than traditional representations of status, ownership and pride. Consumers are aware that in certain scenarios, cars are programmed to react in ways that may injure or terminate other human beings. Automakers will need to tame fears and humanize the technologies before fully autonomous vehicle release and adoption is feasible.Social science can help humanize robot cars In addition to data science, social science is also becoming prevalent in autonomous development. Automakers such as Nissan and Audi are hiring anthropologists and social scientists to help build intelligent vehicles that can think and act more human. The aim is to teach self-driving cars to act more human in their control and on-road actions (e.g. honking, signaling other people or vehicles, moving closer to lane marketing before switching lanes). The idea is for vehicles to communicate intent and personality with pedestrians, cyclists, and other drivers.Autonomous car makers are also becoming data companiesCars are servers on wheels. Carmakers will also become data companies, borrowing cues from Apple, Google, and Facebook to convert data into insights and customize consumer services to deliver value-added experiences. Companies such as BMW iVentures and Toyota Research Institute are already partnering with data startups such as Nauto to share driver data as a means of more rapidly improving autonomous vehicle systems.Automotive 2.0: Redefining the Car for a New Generation of Services and ValueSelf-driving vehicles are coming soon via a self-driving truck (I’m sure). It’s not just about reacting to or living with them. It’s understanding the pieces that make up a new platform for transportation and mobile services.Even though we can neatly see the 11 categories of companies driving us toward a new future and the role they play in doing so, the incredible amount of technology, invention, design, and economies of scale happening under the hood is as or more important than the drivetrain itself. Add to that the incredible amount of innovation still coming to bring capabilities and prices to selast_img