The Fundamentals of Radar with Applications to Autonomous Vehicles

Radar systems can be extremely useful for applications in autonomous vehicles. This paper seeks to show how radar systems function and how they can apply to improve autonomous vehicles. First, the basics of radar systems are presented to introduce the basic terminology involved with radar. Then, the topic of phased arrays is presented because of their application to autonomous vehicles. The topic of digital signal processing is also discussed because of its importance for all modern radar systems. Finally, examples of radar systems based on the presented knowledge are discussed to illustrate the effectiveness of radar systems in autonomous vehicles

Insurance for autonomous underwater vehicles

The background and practice of insurance for autonomous underwater vehicles (AUVs) are examined. Key topics include: relationships between clients, brokers and underwriters; contract wording to provide appropriate coverage; and actions to take when an incident occurs. Factors that affect cost of insurance are discussed, including level of autonomy, team experience and operating environment. Four case studies from industry and academia illustrate how AUV insurance has worked in practice. The paper concludes by stressing the importance of effective dialogue between client, broker and underwriter to review, assess and reduce risk to the benefit of all parties

Physics of Autonomous Driving based on Three-Phase Traffic Theory

We have revealed physical features of autonomous driving in the framework of the three-phase traffic theory for which there is no fixed time headway to the preceding vehicle. A comparison with the classical model approach to autonomous driving for which an autonomous driving vehicle tries to reach a fixed (desired or "optimal") time headway to the preceding vehicle has been made. It turns out that autonomous driving in the framework of the three-phase traffic theory exhibits the following advantages in comparison with the classical model of autonomous driving: (i) The absence of string instability. (ii) Considerably smaller speed disturbances at road bottlenecks. (iii) Autonomous driving vehicles based on the three-phase theory decrease the probability of traffic breakdown at the bottleneck in mixed traffic flow consisting of human driving and autonomous driving vehicles; on the contrary, even a single autonomous driving vehicle based on the classical approach can provoke traffic breakdown at the bottleneck in mixed traffic flow.Comment: 5 pages, 4 figure

Stick Shift: Autonomous Vehicles, Driving Jobs, and the Future of Work

More than 30 companies say they are just a few years away from introducing autonomous vehicles to the mass market. While it is unknown what the ultimate impact of autonomous vehicles will have on jobs, there is a possibility that there could be a relatively rapid transition. This is likely to cause significant pain in a number of communities, as well as exacerbate the losses of "good jobs," a category that includes some driving jobs. It would be prudent to strengthen our safety net and labor market to absorb a shock from autonomous-vehicle technology, as well as ensure that autonomous-vehicle technology is safe and reliable. This will be a challenge, given the recent change in the party controlling the executive branch, and its new secretary of transportation. Strengthening the unemployment insurance system, improving apprenticeship programs, making higher education more affordable, and committing to full employment can not only minimize the harm to displaced workers, but can provide them with opportunities that lead to fulfilling and economically sustaining jobs. This is good policy whether or not autonomous vehicles are around the corner