I'm a bit confused by the further reading links provided. While all-electric cars are admirable, I'm not quite sure how they are related to self-driving cars. Stanley is a diesel-powered Volkswagen, while the Google self-driving cars are based on the hybrid Toyota Prius, the same platform used for their fleet of Google Street-view cars. I'm all for innovation and I am hesitant to disparage any engineering lab, but I find it difficult to believe that the self-driving car revolution will be led by General Motors. I've read GM's press releases but I haven't seen GM take the technology lead in the past. Please set me straight if I'm way off base.
While it's one thing to see these crazy vehicles as part of DARPA development projects, it's quite another to think of an autonomous car like the one Google is working on fighting New City cab drivers for right of way, crawling through the traffic jams in San Francisco, or cruising (hopefully not careening off) over the Golden Gate bridge.
As one that doesn't even trust the rear-view camera for backing out or parallel parking, I'm not sure I could leave the driving to the car--no matter how much onboard intelligence you pack on.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
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.
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.