Tag Archives: autonomous vehicles

The Dawn of Artificial Intelligence: A Journey Through Time

AI

Artificial Intelligence (AI) has become an integral part of our daily lives, influencing everything from how we interact with technology to how businesses operate. But where did it all begin? Let’s take a journey through the early days of AI, exploring the key milestones that have shaped this fascinating field.

Early Concepts and Inspirations

The concept of artificial beings with intelligence dates back to ancient myths and legends. Stories of mechanical men and intelligent automata can be found in various cultures, reflecting humanity’s long-standing fascination with creating life-like machines1. However, the scientific pursuit of AI began much later, with the advent of modern computing.

The Birth of AI as a Discipline

The field of AI was officially founded in 1956 during the Dartmouth Conference, organized by computer science pioneers John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon2. This conference is often considered the birth of AI as an academic discipline. The attendees proposed that “every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it.”

Early Milestones

One of the earliest successful AI programs was written in 1951 by Christopher Strachey, who later became the director of the Programming Research Group at the University of Oxford. Strachey’s checkers (draughts) program ran on the Ferranti Mark I computer at the University of Manchester, England3. This program demonstrated that machines could perform tasks that required a form of intelligence, such as playing games.

In 1956, Allen Newell and Herbert A. Simon developed the Logic Theorist, a program designed to mimic human problem-solving skills. This program was able to prove mathematical theorems, marking a significant step forward in AI research4.

The Rise and Fall of AI Hype

The initial success of AI research led to a period of great optimism, often referred to as the “AI spring.” Researchers believed that human-level AI was just around the corner. However, progress was slower than expected, leading to periods of reduced funding and interest known as “AI winters”4. Despite these setbacks, significant advancements continued to be made.

The Advent of Machine Learning

The 1980s and 1990s saw the rise of machine learning, a subset of AI focused on developing algorithms that allow computers to learn from and make predictions based on data. This period also saw the development of neural networks, inspired by the structure and function of the human brain4.

The Modern Era of AI

The 21st century has witnessed a resurgence of interest and investment in AI, driven by advances in computing power, the availability of large datasets, and breakthroughs in algorithms. The development of deep learning, a type of machine learning involving neural networks with many layers, has led to significant improvements in tasks such as image and speech recognition4.

Today, AI is a rapidly evolving field with applications in various domains, including healthcare, finance, transportation, and entertainment. From virtual assistants like me, Microsoft Copilot, to autonomous vehicles and systems, AI continues to transform our world in profound ways.

A Copilot self generated image when queried “Show me what you look like”. CP

Conclusion

The journey of AI from its early conceptual stages to its current state is a testament to human ingenuity and perseverance. While the field has faced numerous challenges and setbacks, the progress made over the past few decades has been remarkable. As we look to the future, the potential for AI to further revolutionize our lives remains immense.

2: Timescale 3: Encyclopedia Britannica 4: Wikipedia 1: Wikipedia


For the Silo, Microsoft Copilot AI. 😉

Making Life Easy With Easier Parking

With driverless cars already on the streets, will there be similar AI breakthroughs in the future of parking?

In the ’60s, The Jetsons, a cartoon about a family living in the future, featured a flying car that folded down into a briefcase when not in use. It is unlikely that we will ever see that solution to parking become a reality, but many other sci-fi books and films have predicted self-driving vehicles, and we know they are coming because they kind of exist today.

future of parking
Parking facilities in the future must make allowances for electric vehicles. (Photo by guteksk7/Shutterstock)

While brands like Tesla have pushed the boundaries of driver assistance to become a version of self-driving, including parking the vehicle automatically, currently the parking infrastructure has not really kept up. 

But we know that cannot continue, and the reality is that as transport technology evolves, parking solutions will have to evolve as well. But what does that mean long term? Will we be able to arrive at a parking center, get out and leave the car to it, then call it back to us when we want to leave? That seems like the dream approach to parking, but what does it need to make it happen? 

Parking tech

There are two parts to that kind of service, the technology in the car park itself, and the technology within the car. For such a seamless experience, the two will need to work together, in that the vehicle must be able to drive autonomously, but also receive information about parking locations and when it should return to the entrance, from the car park itself. Both sets of technology actually exist today, not as refined as required for a reliable autonomous parking experience, but that is only a matter of time and development. But is it the right answer? 

Right now, parking systems know which cars are parked where within the car park, this data is used to establish remaining capacities and so on, and while not universal, there are cars that can go off and park themselves when needed. So that future service is nearer than we think, but in the meantime what does car parking look like? Some may say that the future is already here without needing self-driving cars.

In Japan and some cities in the US, lift-based parking solutions offer a similar experience today. You arrive at a parking garage; your vehicle is pulled into a cubicle which is then lifted away. When you want to return to your car, the system finds the right cubicle garage and then returns it to the entrance, so you can drive away. 

There are advantages to this approach, without the need for ramps to drive up and down to reach the parking, more cars can be parked in a given space. Because no one actually enters the building where vehicles are stored, it is also incredibly secure too. These systems are being constantly refined, and in the future, it is likely such a garage could be completely automated. With the advantages of space and security, is that more likely to be the future of high-density parking? If we look at other factors, it may well be. 

Cities are increasingly looking to decrease car numbers, opening up spaces instead for social areas, encouraging cycling and other more environmentally friendly approaches to transportation. This is unlikely to change even with the widespread adoption of electric cars, so parking will naturally require large hubs with high-density parking that allows easy access to walks, bikes or public transport to central areas. To get an idea for the future of parking, we can look at what technology best fits this scenario. 

Robotic Solutions

It is likely that these robotic lift-type solutions that pack more vehicles into each parking area fit the needs of city designers better than any more traditional multi-story or underground system that requires ramps and so on, whether the cars are operated by drivers or park themselves. There are other things that are in favor of this approach too. 

Architects are under pressure to soften the appearance of buildings in cities across the world, to create spaces that have more light and elegance. A more compact multi-story space, or an underground alternative with only one small entrance space is easier to disguise with cladding, color and other design tricks that much larger car parks that have ramps and so on. 

There is also the matter of technology. While there are cars that can drive themselves in a limited way now, and numbers are only going to increase, they are not all cars, and may never be. Holden stopped making cars in 2020, but in 20 years’ time, there will still be Holden cars driving on the roads. Those cars can never use autonomous parking systems, but they can use the robotic systems that take your car away and bring it back via a crane lift. They can use them today, and they can use them in the future. 

Machine learning to park

So, the dream of a car swooshing away into its own spot automatically could well be the future. However, it is more likely to be carried there by a machine rather than drive itself. But not all parking is in cities with integrated parking solutions ran by the local authorities. For parking elsewhere, things will develop alongside vehicle technology, and there is one area that must advance for the future of the automotive industry itself, never mind parking. That is electric car charging

Right now, charging is a bit of a mess: different speeds depending on the charger installation, there is no real cohesive system and owners often have to wrestle with a number of different apps to access charging networks on the go. Then there are the mechanics of charging, a heavy cable that has to be plugged in, account information and payment input before the car can be charged. As with phones, wireless charging is the solution, it removes much of the hassle and fail points for a better experience. But what would that look like in cars? 

The obvious answer is charging areas embedded into the road or parking space, with a vehicle stopping on top of it automatically charging. There are hurdles to this, it would mean an end to the various account systems currently used to access charge networks, and instead have something tied to the vehicle itself. However, this kind of solution offers easy and efficient charging without the hassle we have today. 

This would also require new technology for parking. For instance, our robotic car parks could have a charge loop in each container or cubicle, so electric vehicles charge automatically once they are taken away for storage. Likewise, on-road parking at parking meters could include chargers under each space.

This makes the charging process so much less hassle but allows for electric car charging without having to install endless charge stations in streets, and avoiding all the cables that the current system will need. Given the sheer number of electric cars that will be in operation in just a decade or so, and one cable per car, you can see how much an alternative is required. 

But while technology will continue to drive the parking experience, and in cities and communities the need for clean, open spaces will change where we park and what that parking looks like, there will still be areas where parking sits outside of these grand designs. At its heart, a parking space is somewhere to store a vehicle while you go off and do something, and that need is not going to change. Large robotic parking systems in cities may appear in numbers, but they are not going to be the norm in areas with a smaller traffic flow or specific needs. 

What we may see, and it is happening now, is that entrepreneurs and visionaries can find ways to provide a more selective parking solution on a smaller scale, that caters to a very specific need in a specific location. Not only are these services essential and in high demand, but they can be a source of income for anyone who has access to suitable parking space. With more cars than ever on the roads, and with a shift to electric not changing that, the future of parking looks to be heading in multiple directions.

The centralized systems operated in cities and other large communities will follow an approach that minimizes the space required and seek to integrate such facilities into an overall plan for the area. However, in some areas where there is no overall control of parking operations, the idea that you can rent a parking spot from a single person makes sense. Some people have space, others need that space, and as more cars are used, that space is in ever higher demand. This article is an excerpt from the complete e-book Parking Made Easy by Daniel Battaglia.

Self Driving Vehicles And The Trolley Problem

With the imminent arrival of Autonomous Vehicles, many people have started worrying about the safety of this new technology, especially when an issue arises to do with choice.

In this piece, we’ll delve into the issue of the “Trolley Problem” and how AVs will deal with this and whether all manufacturers have the same stance.

Infographic courtesy of our friends at selectcarleasing.co.uk

Supplemental- Silo archives, Fall 2015: Ontario became the first province to test AV’s on Canada’s roads.

Autonomous Vehicles Now Able To Stop Safely

Mendon, Utah – Autonomous Solutions, Inc. (ASI) has received Phase I funding from the U.S. Army Combat Capabilities Development Command Ground Vehicles Systems Center (formerly TARDEC) to improve the way heavy vehicles stop while operating autonomously. 

“Bringing large autonomous vehicles to a safe stop in varying environments can be challenging,” said Jeff Ferrin, CTO of ASI. “Having additional funding from the Army to further develop this technology will help us make autonomous vehicles safer, which is always our number-one priority.” 

The objective of the Army in awarding this grant is to develop and demonstrate a system that can be operated remotely and considers both the dynamics of the vehicle, as well as the environment, to optimally and safely bring a large ground vehicle to a complete stop despite the terrain.

“ASI has been working on terrain characterization with the Army since 2014,” said Ferrin. “This project will use similar technology to make sure the vehicle is aware of the terrain around it. This model of the terrain will then be used by the vehicle to ensure a safer stop is completed.”

A significant focus of this intelligent urgent stop initiative is machine learning. This improved technology will continuously monitor the interaction between a vehicle and its surroundings and update the internal model that is used to properly halt the vehicle. This process will allow the vehicle to learn and adapt as the terrain and environment change.

As the advanced solution is developed, tested and proven, it can be used by ASI’s autonomous vehicles across all the company’s multiple industries, including agriculture, automotive, construction haulage, mining, facility robotics and more.

According to Ferrin, “The system can be used with any drive-by-wire vehicle. It will interface with the brakes and steering to bring the vehicle to a safe, controlled stop.”

Details of the Phase I stage awarded to ASI include development of a concept design using commercial-off-the-shelf (COTS) sensors to perform safe deceleration of a large ground vehicle. A concept design report and performance analysis report are required deliverables before Phase II can be awarded. For the Silo, Brandon Taylor.

About ASI

Autonomous Solutions, Inc. (ASI) is a world leader in industrial vehicle automation. ASI serves clients across the world in the mining, agriculture, automotive, government, and manufacturing industries with remote control, teleoperation, and fully automated solutions from its headquarters and 100-acre proving ground in northern Utah.