User talk:Husain.riaz/sandbox

Tesla Semi
The November 2017 announcement of the new Tesla Semi, the company made statements of what the trucks are capable of and how it will be used when released to the public. The new Tesla semi is making statements of being the safest and most comfortable truck to come off the assembly line. Tesla claims the trucks can go from a complete stop to 100 kilometers per hour in 25 seconds with a load of 36,000 Pounds. With a different design from the traditional semi-trucks on the roads today, the truck has a drag coefficient of 0.36CD. This keeps the energy consumption of the Trucks to be lesser of 2 Kilowatts per hour f or every kilometer of travel, with a total range of these trucks of up to 800 kilometers, which is significantly lower to the current diesel semi-trucks. Instead of one massive engine, the new semi is power by 4 individual motors and a lot of Artificial Intelligence. Tesla will be equipping their semi trucks with the same autopilot software that is currently equipped on their consumer Vehicles. The autopilot system is an Artificial Intelligent system that allows the cars to drive themselves, with little to no human commands. This is a major benefit for a lot of trucker on the road, where they are faced with long driving hours with little breaks. This can be very dangerous to everyone on the roads, so this system allows for drivers to rest slightly as they continue their journey. The autopilot also allows for aiding the driver in the journey by watching to road hazards, collisions, speed limits, lane assist and emergency braking. For the autopilot system to work, the semi is installed with a handful of sensors and cameras. This all allows the system to be aware of where the truck is, in relation to its surroundings at all times. If the driver is unresponsive from a medical emergency, the AI system will immediately contact emergency response personnel. Husain.riaz (talk) 04:00, 29 September 2018 (UTC)Husain Riaz, 09/28/2018

Motorcycles
Vehicle automation and artificial intelligence have come a long way, but it will only be improving. Vehicle automation has now trickled down to motorcycles, with the aim of improving safety and reliability. The automation of motorcycles may significantly decrease human errors while riding and ensure the surrounding vehicles are aware of the presence of motorcycles. Companies appear to have initiated such improvements to further improve the characteristics of the motorcycle. Improvements that have been initiated to automate motorcycles include keeping the motorcycle balanced up-right, even when the motorcycle is at a standstill. This is to aid in preventing riders from falling off if they need to come to an immediate stop. Companies like BMW have taken a different approach as they try to take human interference out of riding. BMW's goal is to provide individuals self-riding motorcycles. The artificial intelligence will learn its surroundings and act accordingly. Yamaha Motors and SRI a research firm have begun challenging the idea of autonomous motorcycles racing. The goal of this project is for Machine and Artificial intelligence to work seamlessly. The two companies are trying to implement this into world-class motorcycle racing, where they will hope to faster than Valentino Rossi, a nine-time world champion. The artificial intelligence is getting smarter and faster, as this can be crucial in the racetrack. The technology can detect and adjust to changes in track conditions much more quickly than the human is capable of. This ultimately reduces human error in a fast-paced setting. Husain.riaz (talk) 02:28, 3 November 2018 (UTC)Husain Riaz

Trains
Making cars, trucks, and buses fully autonomous is one part of transportation that isn’t really thought of when talking about automation.For a long time, trains have been using out-dated hardware and software to operate these systems that used radio frequency and signal systems. Now trains are becoming more up to date, and also being capable of doing more with state of the art sensors and even incorporated GPU learning into soft wares to help make these trains more intelligent in driving themselves. The technological changes in the railroad industry is shifting from making the tracks do all the work to having trains do the work. The collaboration of artificial intelligence with the trains can significantly reduce infrastructure, improved safety, and promote continuous learning in all aspects. The role of the train conductor is greatly enhanced with use the automated braking and accelerating. This may greatly reduce the incidents caused by human errors that could lead to major injuries and in more cases, death. New smart trains have been equipped with multiple sensors alongside cameras like infrared and optical. This assists the artificial intelligence systems to know where the train is positioned in relation to it's environment. Husain.riaz (talk) 04:03, 3 November 2018 (UTC)Husain Riaz

Buses
Autonomous driving has trickled down into public transportation. The public sectors have been gearing towards implementing autonomous driving buses into major cities around the world with large populations. The province of Quebec in Canada is aiming to implement fully electric busses self-driving busses. Other cities in Australia, California, China, Japan, Sweden, and Switzerland are also focused on making busses autonomous in the near future and are testing out the technology available. These new buses will vary in the features they contain, the range, accessibility, routes, and size. These new busses have been designed to make commuter’s route more efficient as well as reducing gridlock. The new autonomous busses will be connected to traffic lights that will change them to green as these vehicles approach intersections. Some busses will even be interactive with riders, where they can tell the bus to skip unnecessary stop to make for a more efficient route. In anticipation for the 2020 Tokyo Olympics games, the Japanese government has started to implement autonomous busses to aid in getting the visitors to the games, without having to effect on traffic for the locals. these buses have just under a dozen cameras that scan the road and surroundings, while long and short-range radar systems constantly monitor the route ahead. There is also a GPS system to navigate these machines. Mercedes Benz has become one of the few manufacturers to build these fully electric autonomous buses. These vehicles are equipped with a wide sort of sensors and cameras which then takes live data and sends it to processing software that will then form a precise picture of the position of the vehicles relative to its surroundings. This is then translated back to the motors to position the bus as accurate as within centimetre. This new system of Artificial Intelligence is ultimately aimed at increasing safety and reduce driver workloads. The fully autonomous buses are able to carry a maximum capacity of about 15 Passengers at a time. Since this technology is still fairly new, this is still being tested on smaller buses and will eventually be used on full scale buses to transport more passengers. Husain.riaz (talk) 22:16, 31 October 2018 (UTC)Husain Riaz

Aircraft
Artificial Intelligence is becoming smarter and much more complex, autonomous vehicle are now being tested on aircraft. Aerospace and innovation has been a perfect pair since the first flight of the wright brothers’ plane. Planes are now able to go further distances and in much more harsh conditions, while most importantly, increasing safety for the passengers on board. Companies like Boeing, Airbus and many start-ups have been working on trying to integrate autonomous fly with aircraft. As cities are increasing rapidly, flying will hold the key to efficient travel. Autonomous flying has become Airbus's first priority, as this is used for intelligence, surveillance and reconnaissance. Boeing has partnered with MIT to create a research and lab space for autonomous research. Lockheed Martin and Sikorsky, a subsidiary of theirs have been working on developing unmanned rotary-wing testbed helicopters. The pilot-less aircraft can soon be a major breakthrough in technology but it also needs to be socially acceptable, as safety is the main concern for the public. A perfect integration of autonomous systems into the airspace is crucial to unlocking their full potential. Drones are automated machines that will assist in delivering packages within crowded cities where there isn’t much room for large delivery trucks. The delivery drones have been first tested out in Singapore. There is a current inability of the technology for aircraft to communicate with one another, respond accurately to fluctuations in weather conditions, as well as accurately detecting the no-fly zones of the airspace. These are a few major drawbacks that are preventing the autonomous aircraft from being widely accepted. These aircraft use high-resolution image capturing cameras along with radars and lidar data technology, which allows the aircraft to see where it is positioned relative to its surroundings. These images and data are then fed into an algorithm to then recognize the situation, and act accordingly.

Watercraft
Fully autonomous cars are coming, but autonomous boats are also being developed by multiple companies around the world. Autonomous boats are being developed to prevent expensive collisions, create fuel efficient routes, and also reduce labours of members of the crew. For large scale watercraft stopping and turning can take several miles, but with the controls being fully automated, these can be decreased to a much shorter distance. A ship that is hundreds to a thousand feet in length can require a lot of cameras. These cameras will produce more than 3 terabytes of data per month, therefore these large ships will need server rooms. According to Jack Stewart, about 80% of incidents are caused due to human error, therefore with to reduction for the reliance on human judgments in highly complex situations, this can cause a major reduction of fuel, insurance and operating expenses. These new autonomous watercraft are being used in the Amsterdam canals, cargo ships for the Norwegian shores, and ships to carry containers across oceans around the world. Even though these watercrafts are planned to not be in the control of a human, there will still need to be a captain, regardless of if they are on the ship or elsewhere. This is to required for situations where the autonomous system has failed, or the sea conditions have become too extreme for the computer to comprehend.

Submersibles
Another aspect of autonomous vehicles is autonomous underwater vehicles. These can be used in a wide variety of tasks from military defense, scientific research, commercial use, and even the private sector can have many uses for autonomous underwater vehicles. These vehicles able to be deployed from ships at sea level where they will then go into extreme environments to explore an area that is not possible for humans to reach. These unmanned underwater vehicles are able to maneuver in any direction, allowing them to be able to get to cramps spaces with very low visibility. These vehicles are equipped with many different tools; which will vary on the type of task the vehicle has to perform. Most of these vehicles are equipped with a high-resolution camera for the conductor to be able to see around the vehicle, along with high-resolution seafloor mapping sensor to be able to create a detailed map of the seafloor. The autonomous can either be piloted by a remote control or they can be programmed by an algorithm to go out and complete the task. Some can go even change their mission profile immediately from the information collected about the environment. Their vehicles can either drift, drive, or glide through the ocean. The systems designs are based on mission requirements, available technology, and cost. The effectiveness of human operators, vehicle subsystems and the components that are integrated to obtain optimal performance. For specific missions or tasks, designers and engineers consider the particular requirements of the job. These vary according to mission requirements in terms of maximum depth, endurance in range and in time, and sensors, even the optimal human requirements in command and control; power available; cost; and a lot of other factors.