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Segment 5 - Automotive 5

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Modeling and Debugging Embedded Systems

University of Colorado Boulder

4.5 (17 ratings) | 1.3K Students Enrolled

Course 3 of 3 in the Developing Industrial Internet of Things Specialization

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This course can also be taken for academic credit as ECEA 5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is part 3 of the specialization. In this course students will learn : * About SystemC and how it can be used to create models of cyber-physical systems in order to perform "what-if" scenarios * About Trimble Engineering's embedded systems for heavy equipment automation * A deeper understanding of embedded systems in the Automotive and Transportation market segment * How to debug deeply embedded systems * About Lauterbach's TRACE32 debugging tools * How to promote technical ideas within a company * What can be learned from studying engineering failures

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From the lesson

Deep Dive: Automotive and Transportation

In this module we will take a deeper look into the Automotive and Transportation sector, as this sector is poised for large growth. If you’ll remember back to course 1 where we looked at market size opportunities, and saw there that the Automotive and Transportation sector was estimated to grow to 154 billion US dollars, at a CAGR of 30%.

Introduction2:04

Segment 1 Automotive 15:25

Segment 2 - Automotive 26:21

Segment 3 - Automotive 32:45

Segment 4 - Automotive 4 - Waze1:36

Segment 5 - Automotive 52:42

Segment 6 - Automotive 62:29

Segment 7 - Trucking7:39

Segment 8 - Trucking - Weigh in Motion0:53

Segment 9 - Logistics4:07

Segment 10 - Trains1:54

Segment 11 - Planes3:09

Segment 12 - Shipping2:38

Segment 13 - Smart Roads3:03

Segment 14 - Smart Parking5:19

Segment 15 - Summary3:10

Taught By

David Sluiter
Professor Adjunct

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Transcript

Say like what to do in case of conflict like human driver and some automated features. So what's your view on that. Is good to give car a priority or human judgement would be better? Some serious testing and validation is going to have to happen on that system that would fully override a human driver. Right now though, automatic braking one, that one, I guess I'm generally in favor of it. We saw a failure with the Uber vehicle. The Tesla was ruled that it was a human error. Saw that on a new story. Here the last couple of days Tesla determined it wasn't a failure of their navigation system or their autonomous system. So, I have mixed feelings on it. The adaptive cruise control, that's kind of overriding your instructions, failure to break, that seems like a positive one. Start getting into identifying objects in steering, that's where it gets dicey. So, someone in the beginning of that, I don't remember which student asked this question, someone was discussing if an autonomous vehicle is driving and there was a woman with a baby carriage, and maybe it was an old man or something, and so there's this potential ethical dilemma. Do I hit one or do I hit the other one and how do I identify that? Yeah, once you get into the steering piece to me it seems like it's a pretty dicey proposition. So, therefore a lot of testing is going to need to be done, a lot of validation, and weather conditions, again I said that repeatedly, if you can think about ice and snow and rain and fog and things that can mess up the sensors, right, how does this autonomous vehicle behave under those conditions. It's gonna be a while. It has been evolving you know. Nowadays most of the pilots do is just take off and land and fly, pretty much flight's on on autopilot but still they require the pilot's assistance. So, there'll be more of the same way. Yeah I can totally see that. Absolutely. In aircraft it's still human is more priority, like humans are given more priority. So, there are systems which tell automatically to each plane to lower or up the altitude but the ATC guys get more priority. Yeah. Traffic collision avoidance system. Right.

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