Convergence of Edge Computing, Machine Vision and 5G-Connected Vehicles
Today’s societies are becoming ever more multimedia-centric, data-dependent, and automated. Autonomous systems are hitting our roads, oceans, and air space. Automation, analysis, and intelligence is moving beyond humans to “machine-specific” applications. Computer vision and video for machines will play a significant role in our future digital world. Millions of smart sensors will be embedded into cars, smart cities, smart homes, and warehouses using artificial intelligence. In addition, 5G technology will be the data highways in a fully connected intelligent world, promising to connect everything from people to machines and even robotic agents – the demands will be daunting.
The automotive industry has been a major economic sector for over a century and it is heading towards autonomous and connected vehicles. Vehicles are becoming ever more intelligent and less reliant on human operation. Vehicle to vehicle (V2V) and connected vehicle to everything (V2X), where information from sensors and other sources travels via high-bandwidth, low-latency, and high-reliability links, are paving the way to fully autonomous driving. The main compelling factor behind autonomous driving is the reduction of fatalities and accidents. Realizing that more than 90% of all car accidents are caused by human failures, self-driving cars will play a crucial role in accomplishing the ambitious vision of “zero accidents”, “zero emissions”, and “zero congestion” of the automotive industry.
The only obstacle is vehicles must possess the ability to see, think, learn and navigate a broad range of driving scenarios.
The market for automotive AI hardware, software, and services will reach $26.5 billion by 2025, up from $1.2 billion in 2017, according to a recent forecast from Tractica. This includes machine learning, deep learning, NLP, computer vision, machine reasoning, and strong AI. Fully autonomous cars could represent up to 15% of passenger vehicles sold worldwide by 2030, with that number rising to 80% by 2040, depending on factors such as regulatory challenges, consumer acceptance, and safety records, according to a McKinsey report. Autonomous driving is currently a relatively nascent market, and many of the system’s benefits will not be fully realized until the market expands. Read more …