Digitalisasi apakah masih relevan dalam industri logistik untuk saat ini?
Blogs / Digitalisasi apakah masih relevan dalam industri logistik untuk saat ini? Digitalisasi apakah masih…
Several companies began experimenting with autonomous driving in the 1920s and 1930s, when radio-controlled vehicles were being displayed. However, these were not autonomous in the modern sense. is relevant solely to toys.
Defense Advanced Research Projects Agency (DARPA) of the United States organized a series of competitions from 2004 to 2007 in an effort to advance the development of autonomous vehicles. These challenges significantly advanced the field, leading to many technological breakthroughs.
The true breakthrough has been done by Google’s now its called Waymo . Google initiated development of self-driving automobiles in 2009, signifying a turning point in the public application of autonomous driving technology.
In 2015, Tesla unveiled Autopilot, an innovative driver-assistance system that offered semi-autonomous driving capabilities and was among the initial systems to be broadly accessible in consumer vehicles.
It is evident from this history that autonomous driving will revolutionize every aspect of life in the future.
Does this technology apply to the freight vehicle ?
The answer is Yes ; allow us to reveal the heading of the company name : Aurora where they put a hashtag as “Autonomous freight is on the horizon.”
It was declared on November 1, 2023 that Aurora Innovation would inaugurate the initial commercially viable route in preparation for the introduction of its driverless truck in late 2024.
It is obvious from the beginning and concentration of the organization which autonomous freight systems that employ state-of-the-art technology will immediately be operational transforming the logistics and transportation industry.
Aurora Demonstrate the innovation.
The comprehensive autonomous driving system, known as “Aurora Driver,” is specifically engineered to be seamlessly integrated into a wide range of vehicle types in order to enable self-driving functionalities. The objective of this system is to furnish a collection of hardware, software, and data services that facilitate autonomous operation in Truck , light commercial vehicles, and passenger vehicles. Their primary objective is to optimize transportation safety and efficiency by implementing cutting-edge autonomous driving technology.
What we “Discover”
Presently, technology startups are primarily concerned with software, whereas the game-changers of the future will need to integrate hardware, software, and data services.
Freight-hub is at the forefront of logistics and supply chain technology, recognizing the market’s demand to assist the freight industry. Our clients require shipment tracing and monitoring to the inch. We are currently in the process of developing new technologies to link hardware, software, and data services in order to support the logistics industry with innovative products and services.
We are developing AI data technology up to machine learning recommendation for routing, vendor selection, and dynamic order allocation.
Our approach is more pragmatic, but our long-term objective is for autonomous trucks to drive themselves.
Freight-hub strives to make with regard to a paradigm shift in the transportation sector, with a specific focus on commercial vehicle operations and logistics
AI’s impact extends to route optimization, where algorithms consider factors like traffic and weather to create efficient transportation routes. Autonomous vehicles, such as self-driving trucks and drones, are becoming a reality, promising safer, more efficient, and cost-effective transportation solutions. Warehouses are witnessing an automation revolution with AI-driven robots and drones handling tasks like picking and packing. Furthermore, real-time supply chain visibility provided by AI is enhancing transparency, reducing disruptions, and improving overall supply chain efficiency.
While the benefits of AI in logistics are evident, challenges like data security and the need for skilled AI professionals should not be underestimated. Nevertheless, as businesses continue to embrace AI-driven solutions, the future of logistics promises even greater efficiency, reduced costs, and improved customer experiences. In this rapidly changing industry, AI is not just an option—it’s a necessity for staying competitive.
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