CHUCK, your fine article points out serious common sense security issues that need to be addressed and resolved before the USDOT mandates EDR technology. If they continue to duck these issues consumers will be test dummies and may react with a backlash to this life saving technology. Seems to me like the IEEE did the heavy lifting up to this point. Kudos to them. What few people know is that NHTSA had been asked to act a few times already but they lack the congressional mandate to deal with privacy and consumer protection issues. Instead they express crocodile tears and pass the issue on to the states.
Chuck, having some way to detect tampering would be a good first step. This is difficult, though. The first time that this data was used in a legal proceeding, if there were not more safeguards, it would be challenged as not being secure. Another big concern is the one you point out in the article. If the data were tampered with on a large scale, it would be scientifically useless. One would have to develop a tampering model to estimate the effect. Safeguards would be a much better solution.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.