Crewless Cargo Ship with Zero Emissions Launches

A Norwegian company has created what it calls the world’s first zero-emission, autonomous cargo ship. If all goes to plan, the ship will make its first journey between two Norwegian towns before the end of the year, with no crew onboard. Instead, its movements will be monitored from three onshore data control centers.

Rochelle Beighton – World’s first crewless, zero emissions cargo ship will set sail in Norway

That quote from this recent article describes the worlds first fully electric container ship that is also autonomous. The shipping industry currently accounts for between 2.5% and 3% of global greenhouse gases emissions, according to the International Maritime Organization. This zero emissions cargo ship begins the long process of addressing that problem. It is envisioned that it will replace 40,000 truck journeys a year. The crewless feature of this emerging innovation makes the ship more cost effective to operate. Almost every scenario we look at tells the same transition story. In this case, the transition involves humans loading and unloading the ship initially, but eventually transitioning to all operations using autonomous technology.

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Autonomous Trucking

A growing narrative these days reflects a belief that realizing the autonomous driving vision is far off in the future. It’s harder than people think, and many experts believe reaching level five autonomy is next to impossible. Those beliefs stem from the complexity of the human mind, and the intuition we use in decision making. Yet quietly, Autonomous Trucking is on a path towards realization by the middle of this decade. Starting in the southern region of the U.S., autonomous trucks are logging miles. Southern states like Arizona, Texas, and New Mexico, provide the right conditions for early phase testing: bad weather is less common, favorable regulation, and strong highway infrastructure.

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How Close Are We To Autonomous Driving?

I’m extremely confident that level 5 [self-driving cars] or essentially complete autonomy will happen, and I think it will happen very quickly. I remain confident that we will have the basic functionality for level 5 autonomy complete this year.

Elon Musk

The question of full autonomy goes back to 2014. There was a time when leaders across industry focused on the disruptive potential of autonomous vehicles. Here in 2021, those disruptive scenarios have not emerged on the timeline many expected. So, how close are we really to level five autonomous driving? That quote above provides one man’s opinion. Granted, that opinion comes from Elon Musk, a person that has made technology history for decades. As this article via Nick Hobson describes, vehicles that have achieved level five autonomy can drive in all circumstances, removing the need for a steering wheel and driver’s seat. Many experts believe reaching level five autonomy is next to impossible. Those beliefs stem from the complexity of the human mind, and the intuition we use in decision making.

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A Perspective On Where We Are On The Autonomous Vehicle Journey

Francesco Biondi doesn’t mince words in his recent assessment of autonomous vehicles both today and into the future. I looked back on my thoughts regarding this scenario in a recent post, concluding that self-driving cars have not evolved to where experts predicted. There was a lot of hype across industries regarding the disruptive potential of this one scenario. I remember the countless conversations about insurance premiums drying up, or how Internet companies would displace the automakers – so I get the skepticism. As Mr. Biondi asks: what went wrong?

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China Launches Autonomous Taxis

In a recent post, I Revisited Autonomous Vehicles. The conclusion is very apparent, we have not realized what many thought we would – at least not yet. But as I mentioned in that post, these scenarios move slowly and then suddenly. In an example of that phenomenon, China just launched an Autonomous Taxi service in Beijing. In a recent article, author Matthew Crisara said the following:

Baidu’s Apollo Go Robotaxi service is the first paid autonomous vehicle service where users can hop in a taxi without a backup driver to intervene. Customers will be able to hail a ride using an app, which allows them to locate a taxi within their vicinity. If they are unable to spot the car, users can remotely honk the horn to find their ride.

Matthew Crisara

The video below describes the new autonomous service.

Revisiting Autonomous Vehicles

In reflecting on thoughts from the previous decade, I looked back at Automation and Digital Transformation. Today I will focus on autonomous vehicles. I first wrote about them in 2014 when I looked at their Disruptive Potential. At the time, the compelling case for moving to full autonomy was truly clear. From the post:

In a recent book titled: The New Killer Apps: How Large Companies Can Out-Innovate Start-Ups, the authors (Chunka Mui and Paul Carroll) dig deeper into this topic. About 5.5 million U.S car accidents occurred in 2009 involving 9.5 million vehicles; the accidents killed 33,808 people and injured 2.2 million others. The total accident related costs in the U.S. are estimated to be roughly $450 billion.

Autonomous vehicles: a disruption case study

The focus was to shift to preventing crashes versus previous efforts to ensure accidents were survivable. Automobile makers would rethink the design and construction of cars from built to survive a crash, to built to avoid them. A report titled Preparing a Nation for Autonomous Vehicles predicted mass market adoption of autonomous vehicles between 2022 and 2025. My post mentioned announcements by Nissan and Volvo of their intentions to have commercially viable autonomous-driving capabilities by 2020. In their view back then, it would take an additional five years for prices to drop to allow for some degree of mass-market penetration.

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The Autonomous Vehicle Has Arrived

“Those who say it cannot be done should not interrupt those who are doing it.” – Thomas Alva Edison

That is a quote from a recent Article on Waymo’s announcement of a Completely Driverless Service for the general public in Chandler, Tempe and Mesa Arizona. The quote addresses all the skepticism that has surrounded the move towards autonomous vehicles. Author Enrique Dans describes the emerging service and has a message for the naysayers:

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Revisiting the Intersections That Shape Our Future

The building blocks of our future are numerous, and they are intersecting in ways that drive rapid shifts. I Visualized this phenomenon a while back, trying to depict the complexity of our world and the challenges it represents. It was Futurist Gerd Leonhard that gave me the idea. As someone who used my Anchor Visual in keynotes, he reflected on how impactful it might be to demonstrate the convergence that was occurring across the visual.

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The Future of Cars

Recently, someone shared a very interesting inforgraphic on the future of cars. I get these requests to share content on a regular basis, and I assess them based on their insight and potential value to my readers. This is an example of a very well done Infographic with a great deal of insight. Below is an introduction and the infographic. Enjoy!

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An Animated Guide to Autonomous Driving

The future of cars is a popular topic these days. In a recent Article by Drew Page, he explores self-driving cars in detail, including the hardware, software, points of failure, issues, and levels of autonomy. The article uses this brilliant infographic from The Simple Dollar to describe these various areas. It is hard to get consensus from experts on when they envision full autonomy. In light of this, continuous education and awareness is critical, making articles such as this one critical. Although the benefits of full autonomy are fairly clear (a dramatic drop in auto fatalities, positive environmental impact, etc.), the risks are just as important to consider.

I highly recommend a quick read of the above mentioned article and a thoughtful journey through this infographic.

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Autonomous Vehicles and Strategic Choices

This Recent Article is the result of a collaborative effort between TCS and the Clayton Christensen Institute.  The article examines the strategic choices faced by various players in the emerging Mobility Ecosystem – viewed through the lens of the Theory of Disruptive Innovation. It outlines the best course of action for achieving long-term profitability in the ride-hailing market.

As with any future scenario, the variables that must be considered in determining the path of the scenario can be overwhelming – There is Peril in Predicting. However, inaction is not an option. Strategic choices must be explored.

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The Future of Cars: An Infographic

I recently came across a very good Infographic that describes the future of cars. Here is the abstract from the Carsurance website:


The future of cars undoubtedly seems exciting. Up to this point, cars were viewed primarily as a convenient method of transportation. The main advancements were made in reliability, safety, performance, and overall comfort. Carsurance InfographicHowever, the advent of the internet and artificial intelligence unlocked a whole new field of progress in the auto industry.

An automobile of the future is not just a machine for driving to your desired destination. It’s a fully automated system that makes all the decisions for you while you enjoy the latest content on its premium audio-visual system.

Want to change the route? Just give a verbal command and the cars of the future will know what to do. Worrying about crashing or getting a citation? The vehicles of tomorrow will carry self-driving software that is so reliable, humans do not even come close.

Reducing carbon emission is another crucial challenge for the car industry. Electric and hybrid cars, with their replicable batteries, seem like a convenient solution. However, future cars could rely on even more advanced fuels.

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Autonomous Vehicles and the Perils of Prediction

I am a big believer in rehearsing the future versus attempting to predict it. The wild swings we experience when following future scenarios can range from bold predictions of imminent manifestation to dire warnings that a scenario will never be realized. In this Recent Article, the author describes how the auto industry is rethinking the timetable to realizing level 5 autonomy. Turns out we underestimate the human intelligence required  to drive a car and overestimate our ability to replicate it. The article provides simple examples:

When a piece of cardboard blows across a roadway 200 yards ahead, for example, human drivers quickly determine whether they should run over it or veer around it. Not so for a machine. Is it a piece of metal? Is it heavy or light? Does a machine even “know” that a heavy chunk of metal doesn’t blow across the roadway? It’s a tougher problem.

Or how about this challenge that humans for the most part handle very well:

When a car arrives at a four-way stop at the same time as another vehicle, for example, it’s a dilemma for a machine. Human drivers tend to nod or make eye contact, but micro-controllers can’t do that.

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Self Driving Delivery

The hype around autonomous technology continues. The focus, investment and rapid advancement in this space has changed the way leaders Think about the Future. The science-fiction feel of a future-focused discussion has disappeared – replaced by the reality that the future is appearing faster than we think. Look no further than self-driving delivery.

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Autonomous Vehicles: An Interview with Chunka Mui

The convergence that is steering our emerging future manifests itself through a number of scenarios that drive multiple paradigm shifts. As the shifts themselves converge, they intensify the critical need for leaders to think differently about a world where the future arrives faster than people think. Some time ago, I had a great conversation with Chunka Mui regarding pace, the sheer number of shifts, and the need to think differently. We used the autonomous vehicle to explore the challenges of our emerging future. I will present the full discussion in five short segments, along with white board animation to visualize our dialog.

Chunka Mui is the managing director of the Devil’s Advocate Group, a consulting team that helps organizations design and stress test their innovation strategies. As a consultant on strategy and innovation, Mr. Mui has spent considerable time analyzing the autonomous vehicle scenario. He asked a question in his book The New Killer Apps about autonomous vehicles and what happens if traffic accidents are reduced by 90% as Google predicts. This simple question makes visible the broad and deep implications of these future scenarios. As society responds to their implications, new ecosystems emerge that alter our world. In this case, the vehicle is one of numerous components of an emerging mobility ecosystem that is defined by the responses that are playing out right now.

Here is the first of the five segments:

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The Growth of the Autonomous Car Market

In the last three years, I have written about the emerging Mobility Ecosystem and its Disruptive Potential. In 2016, we witnessed the acceleration of this future scenario and the movement from science fiction to something that feels very real. Here is a great infographic that looks broadly at the autonomous car market, the many financial, practical and scientific challenges involved in the development of these vehicles, and these other topics:

  • The history of autonomous cars
  • The challenges involved in engineering the coveted autonomous car
  • How DARPA have been involved in testing driverless cars
  • The advent of Google X
  • The science behind autonomous vehicles
  • What the future holds for the autonomous car market
  • Which car brands have driving patents for autonomous vehicles
  • The projected launch date for driverless card (for test or commercial purpose)
  • Projected market penetration of autonomous cars in the UK
  • SAE levels explained

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Artificial Intelligence Intersects with Autonomous Vehicles

 

In his tenth post in the series, Marshall Kirkpatrick focuses on the intersection between artificial intelligence and autonomous vehicles. By way of reminder, Marshall launched a 30 day series that explores the intersection between AI and the various innovation components on my emerging futures visual.

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Autonomous Vehicles: The Automotive Ecosystem

This post continues the disruption scenario discussion initiated by my earlier Insurance Industry Case Study. I’ve been using the autonomous vehicle (AV) as an example of a disruptive scenario with potential societal, economical, and environmental impact. In this post, the focus shifts to the scenario’s possible effect on the automotive ecosystem.

Autonomous vehicle technology can be viewed using a five-part continuum suggested by the National Highway Traffic Safety Administration (NHTSA), with different benefits realized at different levels of automation:

Driverless Car Continuum

Last month, an IHS Automotive study predicted the world will have nearly 54 million self-driving cars by 2035. The study also predicts that nearly all vehicles in use are likely to be self-driving cars or self-driving commercial vehicles sometime after 2050. Meanwhile, automakers and others are unveiling both their plans for – and introduction of – automated features: 

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Autonomous Vehicles: A Disruption Case Study

At a recent news conference, U.S. federal transportation officials described Talking Cars and their ability to avoid deadly crashes by seeing it coming before you do. The U.S. government will likely require automakers to equip new vehicles with technology that lets cars warn each other if trouble lies ahead. A radio signal would continually transmit a vehicle’s position, heading, speed, and other information. Your vehicle would receive the same information back from other cars, and the on board computer would alert its driver to an impending collision. Alerts would come in varying forms: a flashing message, an audible warning, or a driver’s seat that rumbles. Some systems might even automatically brake to avoid an accident if that option is included. Examples of what the technology enables:

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