ANSYS and BMW have announced plans to create the first holistic simulation toolchain for developing autonomous vehicle (AV) technologies. The simulation tool chain will enable highly automated and autonomous driving (AD) with the first vehicle launch expected in just two years. BMW Group is leveraging ANSYS' engineering simulation solutions to speed up the development of a safety-focused solution for the validation of AD systems. The multi-year agreement drives the development of BMW Group's Level 3 offering and Level 4-5 technology, delivering high/full automation for the highly anticipated BMW iNEXT, expected to launch in 2021. The new automated simulation toolchain will make efficient use of BMW s large amount of sensor data through intelligent data analytics and the creation of scenarios according to statistical relevance and AD system sensitivity.
Data is the reason AV companies are racking up miles and miles of testing experience on public roads, recording and stockpiling petabytes of road lore. Waymo, for example, claimed in July more than 10 million miles in the real world and 10 billion miles in simulation. But here's yet another question the industry does not like to ask: Assume that AV companies have already collected petabytes or even exabytes of data on real roads. How much of that dataset has been labeled? Perhaps more important, how accurate is the data that's been annotated?
The U.S. Army Artificial Intelligence (AI) Task Force was inaugurated when Commander General John Murray applied the U.S. Army Futures Command (AFC) patch to the left arm of Brigadier General Matthew Easley's uniform with a hearty slap. Easley is now officially in charge of the new taskforce. In close collaboration with Carnegie Mellon University (CMU), the U.S. Army has also established the first AI Hub to be located in Pittsburgh, Pennsylvania and Carnegie Mellon's National Robotics Engineering Center. A key role of the AI Hub will be to increase collaboration with ANSYS and other academic, industry and government agency partners. The Army AI Taskforce will be focused on developing and prototyping AI capabilities for several critical areas of the Army -- including an on-going project focused on predictive maintenance.
The ANSYS Global Autonomous Vehicles Report was commissioned by the company to gauge global consumer perception of autonomous vehicles (AVs) and better understand expectations for the future of travel. According to the report Japanese respondents were more confident in AVs than the global average, with 38% of respondents believing that AVs are better than human drivers and 83% of respondents believing that autonomous cars will surpass human abilities by 2029. Chinese respondents were most open to riding in an AV in their lifetime at 97%, while only 57% of respondents from the UK expressed comfort with the idea of riding in an AV. In contrast, 43% of respondents over the age of 65 said they would never ride in an AV. Principal research analyst at Navigant Research Sam Abuelsamid said: "Automated driving has been a dream of engineers and travellers since at least the 1950s, but the hardware and software required to make it a practical reality has only approached a sufficient level of maturity in the past decade."
ANSYS has released its SeaScape architecture for product developers. SeaScape is claimed to allow organisations to innovate faster than the ever by bringing together the advanced computer science of elastic computing, big data and machine learning and the physics-based world of engineering simulation. Engineering simulation generates huge amounts of data - more than most organisations can effectively leverage for future product designs. At the same time, engineering supercomputing resources are not keeping pace with the demand for higher fidelity simulations needed for increasingly complex products. By leveraging such big data technologies as elastic compute and map reduce, SeaScape is said to provide an infrastructure to address these issues in the context of almost any engineering design objective.