Aug 22, 2022 06:10 PM
https://gomotive.com/blog/impact-of-auto...logistics/
INTRO: The future is here. Robots are delivering medicine in hospitals. Drones are dropping off food orders straight to your door. Logistics companies are also investing in autonomous trucking to help address last-mile delivery challenges. This article explores the state of autonomous trucking today and the potential benefits and drawbacks that this technology can offer to logistics enterprises.
What is autonomous trucking? Autonomous driving trucks are commercial vehicles that rely on technology to get from point A to point B. The person in the driver’s seat is replaced by artificial intelligence (AI) automation and machine learning (ML), which draw data inputs to travel on highways and other public roads between shipping yards and warehouses to the long-haul destination.
How do autonomous trucks work? Autonomous trucking technology uses long-range, high-resolution sensors and the power of AI/ML to follow the established delivery route and account for any obstacles on the road. Autonomous driving technology processes the sensor data to perceive objects in real time. The technology can recognize traffic signs, emergency vehicles, and other vehicles on the road.
People supervise autonomous driving systems in current pilot programs, but the technology is meant to learn. As the machine’s neural networks process more routes, operation without human supervision can become a future reality.
Key elements of autonomous trucking technology. According to McKinsey, the autonomous trucking industry is likely to develop in four waves. Already there are platooned autonomous trucks with drivers handling the non-interstate highway driving.
In phase two, a single driver is in the lead truck and a second truck follows along the interstate highway route. A second driver takes the wheel of the autonomous truck on non-interstate highways.
The consultants predict the next stage will see autonomous trucks platooning on the highway, maybe even more than two trucks, with drivers involved at pickup and drop-off. Finally, driverless trucks will eliminate the need for human involvement at any point in the journey... (MORE - details)
https://logisticsviewpoints.com/2022/08/...t-13-19-2/
NEWS: The race for autonomous trucking is on, but for one company, the race just slowed down. Aurora Innovation, one of the startups pushing for autonomous truck commercialization, postponed the launch of its self-driving vehicle by a year due to delays in securing tier 1 suppliers for truck hardware.
The company was aiming for a 2023 rollout, but CEO and co-founder Chris Urmson said that “supply chain constraints” have hindered the company’s ability to scale production. The delays caused Aurora to revise its expectations for producing road-ready trucks until the first half of 2024.
Aurora and its partner Paccar worked to secure key supplier contracts during the first half of this year, which Urmson said would be a “major point of schedule risk reduction” going forward.
INTRO: The future is here. Robots are delivering medicine in hospitals. Drones are dropping off food orders straight to your door. Logistics companies are also investing in autonomous trucking to help address last-mile delivery challenges. This article explores the state of autonomous trucking today and the potential benefits and drawbacks that this technology can offer to logistics enterprises.
What is autonomous trucking? Autonomous driving trucks are commercial vehicles that rely on technology to get from point A to point B. The person in the driver’s seat is replaced by artificial intelligence (AI) automation and machine learning (ML), which draw data inputs to travel on highways and other public roads between shipping yards and warehouses to the long-haul destination.
How do autonomous trucks work? Autonomous trucking technology uses long-range, high-resolution sensors and the power of AI/ML to follow the established delivery route and account for any obstacles on the road. Autonomous driving technology processes the sensor data to perceive objects in real time. The technology can recognize traffic signs, emergency vehicles, and other vehicles on the road.
People supervise autonomous driving systems in current pilot programs, but the technology is meant to learn. As the machine’s neural networks process more routes, operation without human supervision can become a future reality.
Key elements of autonomous trucking technology. According to McKinsey, the autonomous trucking industry is likely to develop in four waves. Already there are platooned autonomous trucks with drivers handling the non-interstate highway driving.
In phase two, a single driver is in the lead truck and a second truck follows along the interstate highway route. A second driver takes the wheel of the autonomous truck on non-interstate highways.
The consultants predict the next stage will see autonomous trucks platooning on the highway, maybe even more than two trucks, with drivers involved at pickup and drop-off. Finally, driverless trucks will eliminate the need for human involvement at any point in the journey... (MORE - details)
https://logisticsviewpoints.com/2022/08/...t-13-19-2/
NEWS: The race for autonomous trucking is on, but for one company, the race just slowed down. Aurora Innovation, one of the startups pushing for autonomous truck commercialization, postponed the launch of its self-driving vehicle by a year due to delays in securing tier 1 suppliers for truck hardware.
The company was aiming for a 2023 rollout, but CEO and co-founder Chris Urmson said that “supply chain constraints” have hindered the company’s ability to scale production. The delays caused Aurora to revise its expectations for producing road-ready trucks until the first half of 2024.
Aurora and its partner Paccar worked to secure key supplier contracts during the first half of this year, which Urmson said would be a “major point of schedule risk reduction” going forward.