Autonomous Solutions, Inc. (ASI) and Danfoss, a market leader in components and software for automation, have entered into an agreement to collaborate on technology for autonomous vehicles.
Danfoss products have long provided critical links from ASI’s software and processors to vehicle control systems and hardware via electrical, network, and hydraulic interfaces. The PLUS+1? platform has been particularly useful to ASI in automating vehicles for agriculture, mining, construction, and material handling applications.
Mel Torrie, President and CEO of ASI, says, “ASI has been using the best-in-class Danfoss components over the last 20 years to support our driverless vehicle development with the world’s leading vehicle OEMs. This new partnership will ensure manufacturers have the needed support to streamline their efforts in making autonomous industrial vehicles a mainstream reality.”
ASI looks forward to working with Danfoss to bring exciting new capabilities to a broader market and a wider range of applications, with world-class support for innovative new offerings. As the adoption of autonomous vehicle technology expands, more potential customers are seeing ways for automation to improve their products and services. This partnership will enable ASI and Danfoss to provide the building blocks for all kinds of implementations not viable in the past.
“This partnership demonstrates our ambition to invest in autonomy and be the innovative partner for our customers. It’s a promising partnership and we are excited about the potential in vehicle automation,” says Kim Fausing, President and CEO of Danfoss.
Autonomous Solutions, Inc. is a world leader in vendor independent vehicle automation systems. From our headquarters and 100-acre proving ground in northern Utah, we serve clients in the mining, agriculture, automotive, construction, material handling, government, and manufacturing industries with remote control, teleoperation and fully automated solutions. ASI’s vehicle automation products can be found in companies and government agencies throughout the world. Read more about us at www.www.ouidzine.com
Danfoss engineers advanced technologies that enable us to build a better, smarter and more efficient tomorrow. In the world’s growing cities, we ensure the supply of fresh food and optimal comfort in our homes and offices, while meeting the need for energy-efficient infrastructure, connected systems and integrated renewable energy. Our solutions are used in areas, such as refrigeration, air conditioning, heating, motor control and mobile machinery. Our innovative engineering dates back to 1933 and today Danfoss holds market-leading positions, employing 27,000 people and serving customers in more than 100 countries. We are privately held by the founding family. Read more about us at www.danfoss.com.
Autonomous Solutions, Inc. (ASI) has been awarded a SBIR Phase I grant from the U.S. Army Combat Capabilities Development Command Ground Vehicles Systems Center (formerly TARDEC) to develop a Deep Learning (DL) architecture that will support sensor fusion in environments with limited, or no, GPS.
“Environmental sensing today typically includes cameras, LiDAR and radar,” said Jeff Ferrin, CTO of ASI. “Each of these devices has a specific purpose, but not all of them work well in every situation. For example, cameras are great at collecting high-resolution color information, but do not provide much useful information in the dark.”
In addition to the challenges faced by cameras in poorly lit or degraded visual environments, LiDAR and radar sensors also have limitations. LiDAR performs well in most light conditions but may yield false positives in heavy rain, fog, snow or dust, due to its use of light spectrum wavelengths. Radar usually penetrates these degraded visual environments, but often lacks spatial resolution.
“ASI’s goal is to design a deep learning architecture that fuses information from LiDAR, radar and cameras,” said Ferrin. “We plan to build upon machine learning techniques we have already developed for LiDAR data.”
Deep learning is a branch of artificial intelligence and machine learning that allows valuable information to be extracted from large volumes of data. Cameras are often used in deep learning models because of their high output of information in regularly sampled data structures.
The case is different for LiDAR and radar. Naturally, these two sensor types do not provide regularly sampled data, making it difficult to formulate problems using current deep learning frameworks. This gap in current research efforts – deep learning for LiDAR and radar – is the focus of this grant.
Improved utilization of data from multiple devices can paint a more accurate picture of a vehicle’s surroundings, keeping it safer and making it more efficient. The details of the grant solicitation state, “It is anticipated that harnessing a wide variety of sensors altogether will benefit the autonomous vehicles by providing a more general and robust self-driving system, especially for navigating in different types of challenging weather, environments, road conditions and traffic.”
“In the last few years, we have seen a growing need in the world of robotics to advance industry capabilities in machine learning, deep learning, and other artificial intelligence algorithms to improve performance in these challenging environments,” said Ferrin.
ASI is required to demonstrate the feasibility of the deep learning architecture in a simulation environment, including a road following system that controls an autonomous vehicle, on a course with obstacles and a degraded visual environment.
Autonomous Solutions, Inc. (ASI) is a world leader in industrial vehicle automation. ASI serves clients across the world in the mining, agriculture, automotive, government, and manufacturing industries with remote control, teleoperation, and fully automated solutions from its headquarters and 100-acre proving ground in northern Utah.
To learn more about ASI’s work with sensor fusion technology, visit the company’s Research and Development page.
Autonomous Solutions, Inc. (ASI) has received Phase I funding from the U.S. Army Combat Capabilities Development Command Ground Vehicles Systems Center (formerly TARDEC) to improve the way heavy vehicles stop while operating autonomously.
“Bringing large autonomous vehicles to a safe stop in varying environments can be challenging,” said Jeff Ferrin, CTO of ASI. “Having additional funding from the Army to further develop this technology will help us make autonomous vehicles safer, which is always our number-one priority.”
The objective of the Army in awarding this grant is to develop and demonstrate a system that can be operated remotely and considers both the dynamics of the vehicle, as well as the environment, to optimally and safely bring a large ground vehicle to a complete stop despite the terrain.
“ASI has been working on terrain characterization with the Army since 2014,” said Ferrin. “This project will use similar technology to make sure the vehicle is aware of the terrain around it. This model of the terrain will then be used by the vehicle to ensure a safer stop is completed.”
A significant focus of this intelligent urgent stop initiative is machine learning. This improved technology will continuously monitor the interaction between a vehicle and its surroundings and update the internal model that is used to properly halt the vehicle. This process will allow the vehicle to learn and adapt as the terrain and environment change.
As the advanced solution is developed, tested and proven, it can be used by ASI’s autonomous vehicles across all the company’s multiple industries, including agriculture, automotive, construction haulage, mining, facility robotics and more.
According to Ferrin, “The system can be used with any drive-by-wire vehicle. It will interface with the brakes and steering to bring the vehicle to a safe, controlled stop.”
Details of the Phase I stage awarded to ASI include development of a concept design using commercial-off-the-shelf (COTS) sensors to perform safe deceleration of a large ground vehicle. A concept design report and performance analysis report are required deliverables before Phase II can be awarded.
Autonomous Solutions, Inc. (ASI) is a world leader in industrial vehicle automation. ASI serves clients across the world in the mining, agriculture, automotive, government, and manufacturing industries with remote control, teleoperation, and fully automated solutions from its headquarters and 100-acre proving ground in northern Utah.
Autonomous Solutions, Inc. (ASI) is pleased to announce it recently received an AFWERX/AFRL Phase II SBIR award for $648,000 to automate a ground vehicle convoy on the test range at Edwards Air Force Base (AFB) in southern California.
AFRL and AFWERX have partnered to streamline the Small Business Innovation Research process in an attempt to speed up the experience, broaden the pool of potential applicants and decrease bureaucratic overhead. Beginning in June 2018, and through three repeat calls for ideas a year, the Air Force has begun offering ‘Special’ SBIR topics that are faster, leaner and open to a broader range of innovations.
“We are thrilled to have received funding for the second phase of this contract, and for the support of Edwards AFB,” said Jeff Ferrin, CTO at ASI. “This provides valuable resources for testing and enhancing the convoy capabilities of our Mobius command and control platform.”
The Mobius? platform is ASI’s proprietary command and control software used to operate self-driving vehicles. It has become known for delivering a powerful, user-friendly, autonomous vehicle experience to industries such as mining, agriculture, automotive, material handling, security and test range operations.
Mobius is designed to set specific tasks and control critical vehicle functions like steering, transmission, acceleration, brake and ignition of a vehicle from a remote location.
The goal of Edwards AFB is to use the Mobius? platform to improve precision, accuracy and repeatability of range testing.
Following a series of onsite visits, ASI selected the base as the best candidate for their solution.
“The most promising Air Force customer was Edwards AFB,” said Ferrin. “From the beginning of the Phase I project, they have been very interested in both Mobius and our convoy technology. The business case for efficiency and accuracy by applying Mobius at their training range is very strong.”
ASI was originally awarded Phase I of the federal grant as a result of the company’s response to a solicitation through the Small Business Innovation Research (SBIR) program, titled Open Call for Innovative Defense-Related Dual -Purpose Technologies/Solutions.
According to the solicitation details, the objective of the grant was to “explore options for solutions that may fall outside the Air Force’s current fields of focus but that may be useful to the US Air Force.”
Companies were required to complete a feasibility study and prototype validated concepts requested in both Phase I and Phase II schedules.
ASI received $50,000 for Phase I of the grant in 2018.
Autonomous Solutions, Inc. (ASI) is a world leader in industrial vehicle automation. ASI serves clients across the world in the mining, agriculture, automotive, government, and manufacturing industries with remote control, teleoperation, and fully automated solutions from its headquarters and 100-acre proving ground in northern Utah.
Mobius® is an industry leading command and control software platform developed by Autonomous Solutions, Inc. (ASI). Over the years, Mobius has been developed and specialized to bring a powerful, custom driverless technology solution to industries like mining, agriculture, automotive, material handling, security, industrial cleaning and more.
Mobius and ASI’s driverless technology can be integrated into nearly any vehicle to make it autonomous. This disruptive technology is changing the way industry is looking at various operations and having a powerful and positive impact where implemented.
One of the most important benefits this technology is brining to industry is safety. Mobius increases safety by removing humans from dangerous environments.
Another benefit ASI customers have seen is increased efficiency leading to reduced operating costs. That means projects that were not being considered may now be feasible, allowing organizations to grow and expand.
Mobius optimizes work by bringing multiple vehicles together in an orchestrated effort. The system can track both automated vehicles and manned vehicles allowing Mobius and all autonomous vehicles to be aware of the location of manned vehicles at all times. A single operator then oversees the entire operation and is notified of important events when necessary.
Through this technology, an operator can see vehicle-specific diagnostics and be alerted anytime systems are reaching near-critical levels. An operator overseeing the operation is also able to draw paths, set tolerances, set specific events at specific points, task vehicles and more.
Mobius incorporates the latest and greatest in cutting edge technology. Whatever the industry is, whatever the needs of an organization’s operations may be, Mobius can be adapted to meet those needs and enable that organization to scale growth and gain competitive advantage.
Contact ASI to learn how Mobius technology can take your organization to the next level.
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