Society of Automotive Engineers - SAE International

SAE is quite popular society among automotive engineers. Student membership is only $10.

Society of Automotive Engineers - SAE International

Nonlinear and Hybrid Systems in Automotive Control - Control Engineering Journals, Books & Online Media | Springer

Nonlinear and Hybrid Systems in Automotive Control - Control Engineering Journals, Books & Online Media Springer

Nonlinear and Hybrid Systems in Automotive Control - Control Engineering Journals, Books & Online Media | Springer

Nonlinear and Hybrid Systems in Automotive Control - Control Engineering Journals, Books & Online Media Springer

A nice book on autmotive controls.

A side note: Darpa grand challenge car video

CarTV.com covered the DARPA grand challenge event from start to finish. I watched part 2 . It was fun.

Autonomous vehicles:DARPA grandchallenge

Stanford won the 2005 race (won cash prize of 2 million) and 5 vehicles finished the target route.


Now DARPA moved the 2006 race to urban setting.

Online book for intelligent control:An Introduction to Intelligent and Autonomous Control

Here is a book for intelligent control "An Introduction to Intelligent and Autonomous Control" edited by Edited byPanos J. Antsaklis and Kevin M. Passino.

Fault tolerant control

Fault tolerant control is an interesting area. The basic question we asked in FTC research is how to design a system which can sustain upto some degree of faults. Here is the link to a website which has list of major publications, which I found via yahoo search.

Fujitsu Ten Enhances CRAMAS for Hybrid Vehicle ECUs

Here is the news.

Sheppard, J.W.; Kaufman, M.A., "A Bayesian approach to diagnosis and prognosis using built-in test,"

Sheppard, J.W.; Kaufman, M.A., "A Bayesian approach to diagnosis and prognosis using built-in test," Instrumentation and Measurement, IEEE Transactions on , vol.54, no.3pp. 1003- 1018, June 2005

Abstract: Accounting for the effects of test uncertainty is a significant problem in test and diagnosis, especially within the context of built-in test. Of interest here, how does one assess the level of uncertainty and then utilize that assessment to improve diagnostics? One approach, based on measurement science, is to treat the probability of a false indication [e.g., built-in-test (BIT) false alarm or missed detection] as the measure of uncertainty. Given the ability to determine such probabilities, a Bayesian approach to diagnosis, and by extension, prognosis suggests itself. In the following, we present a mathematical derivation for false indication and apply it to the specification of Bayesian diagnosis. We draw from measurement science, reliability theory, signal detection theory, and Bayesian decision theory to provide an end-to-end probabilistic treatment of the fault diagnosis and prognosis problem.URL: