Vehicles, Artificial Intelligence (AI) and Quantum Computing (QC)
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| Quantum Computing is a key to Autonomous Vehicle Industry Success. (Future Bridge) |
It is foreseeable that Industrial Revolution 4.0 driven by the Internet of Robotic Things, AI, and QC will have tremendous impacts on various industries and public sectors, including computing architecture, high-performance & memory-centric computing, AI Robotics, logistics optimization, AI-healthcare, drug delivery, quantum algorithmic trading, space exploration or even gaming, music. In particular, Automatic Guided Vehicle (AGV) and Self-Driving Cars (SDC) will be the most prominent and popularised in the future.
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| Photo Extracted from Agri Information Partners, 2018 |
With the advent of these cutting-edge technologies in deep learning frameworks and QC cloud service, more powerful and intelligent vehicles will emerge. Due to the growth of the global population and the expansion of cities in various regions, the transportation network is bound to be closer and more complex than before. Due to its logistics transport delivery from one point to another with precise calculation by AI, it will arguably alleviate traffic congestion and vehicle routing problems drastically, like the classic Traveling Salesman Problem.
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| This aspect of quantum computing can very well be applicable to autonomous vehicles of the near future where these vehicles can be guided to a particular area of focus or can be intimated to avoid that area all together particularly in heavy traffic situations. (Future Bridge Analysis) |
SDC will be the main project in smart city planning, Simultaneous Localisation And Mapping (SLAM) and QAOA will be implemented to minimize the distance traveled visiting various cities. In the future, optimized classification of routes can facilitate the logistics movement and create more workforce in managerial positions.
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| Machine Learning was used as a classifier with a sliding window to find cards and obstacles. The SVM classifier often had two classes: car and not car. Computer Vision, Machine Learning, and Deep Learning are generally good solutions for Perception problems. (Jeremy Cohen, 2019) |
In the humanity aspect, SDC can provide safe and high accessibility to citizens. Smart devices are required to collect billions of pixels in multimedia datasets by computer vision (CV) and image recognition algorithms, RGB-D camera, and LiDar. Not only can complex graphs or logistics routes be well selected, but also obstacles and oncoming pedestrians in the environment can be recognized to greatly reduce traffic accidents. Due to privacy issues, quantum information on routes and passengers can be secure and processed efficiently by taking advantage of quantum entanglement and superposition,. With the more accurate classification in the visual data, complex graphs or logistics routes can be selected. Not only will it help the experts to predict the pattern with the aid of robotics, but also create more workforce in managerial positions.
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| Bestmile’s platform and mobile apps will enable the residents of Brush Park Manor Senior Housing and Brewster Homes to benefit from a predictable and reliable self-driving transit service. (Navya) |
Furthermore, the newly launched self-driving cars can reshape the public vehicle design concept, such as intelligent braking systems and internal design for the sake of the disabled.
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| Automated Guided Vehicles (AGVs) are becoming increasingly common in industry following technology advancements and reductions in cost. The use of AGVs to transport materials in warehouses and manufacturing spaces produces significant improvements in efficiency and environmental impact in comparison to other transport methods, such as manually operated forklifts and diesel-powered trucks. (AZO Materials, 2018) |
Regarding the environmental issue, the publication and electrification of SDC can tremendously reduce the impact of a carbon footprint on global warming by consuming electricity as the main fuel and reducing the demand for private vehicles.
Apart from SDC for passengers, point-to-point logistics transportation can achieve the same effect through the above mentioned technologies.
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| 1 / 1Amazon, which began testing drone delivery in 2016 in Britain, said Wednesday it will soon begin large-scale deliveries by air as part of an effort to standardize one-day shipping for its Prime members. (Phys.org, 2019) |
In particular, Amazon has been putting remarkable endeavors on drone delivery using AI and quantum machine learning to make drones roam between buildings and carry goods to specific units. One of the obstacles faced by drones is whether they can be transported and identify obstacles efficiently. It ignited researchers from various fields to develop quantum machine learning for sensor-based robot navigation.
Therefore, the application of SDC and AVG in smart cities can fulfill the three major elements of sustainability-economic development, social cohesion, and environmental protection, which ignites researchers all over the world to develop AI and QC for sensor-based robot navigation.
Article posted on Quantum Grad
Reference:
- https://news.un.org/en/story/2019/01/1031702
- https://phys.org/news/2019-06-amazon-drones-months.html
- https://www.volkswagenag.com/en/news/2017/11/quantum-computing.html
- https://www.futurebridge.com/industry/perspectives-mobility/quantum-computing-a-key-to-autonomous-vehicle-industry-success/
- https://becominghuman.ai/computer-vision-applications-in-self-driving-cars-610561e14118
- https://navya.tech/en/self-driving-shuttle-service-launched-to-transport-senior-citizens-and-underserved-to-detroit-hospital/
- https://www.agripartner.com/providing-means-breeding-companies-cross-complex-intersection-rd-marketing/
- https://navya.tech/en/self-driving-shuttle-service-launched-to-transport-senior-citizens-and-underserved-to-detroit-hospital/
- https://directory.eoportal.org/web/eoportal/satellite-missions/q/quess
- https://www.futurebridge.com/industry/perspectives-mobility/quantum-computing-a-key-to-autonomous-vehicle-industry-success/