Intelligent systems in the automotive industry: applications and trends

There is a common misconception that the automobile industry is slow to adapt new technologies, such as artificial intelligence (AI) and soft computing. The reality is that many new technologies are deployed and brought to the public through the vehicles that they drive. This paper provides an overview and a sampling of many of the ways that the automotive industry has utilized AI, soft computing and other intelligent system technologies in such diverse domains like manufacturing, diagnostics, on-board systems, warranty analysis and design.

[1]  Gholamreza Nakhaeizadeh,et al.  WAPS, a data mining support environment for the planning of warranty and goodwill costs in the automobile industry , 1999, KDD '99.

[2]  Serge Boverie,et al.  Contribution of fuzzy logic control to the improvement of modern car performances , 1993 .

[3]  Michio Sugeno,et al.  Industrial Applications of Fuzzy Technology in the World , 1995 .

[4]  Adam Cunningham,et al.  Computer-Aided Parts Estimation , 1993, AI Mag..

[5]  Frank L. Greitzer,et al.  Embedded Prognostics Health Monitoring , 2002 .

[6]  Fulvio Cascio,et al.  Model-Based Diagnosis for Automotive Repair , 1997, IEEE Expert.

[7]  J. C. Gerdes,et al.  A probabilistic approach to residual processing for vehicle fault detection , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[8]  Hao Ying,et al.  Rule-Based Fuzzy Gain-Scheduling PI Controller to Improve Engine Speed and Power Behavior in a Power-split Hybrid Electric Vehicle , 2006, NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society.

[9]  Shunji Miyahara,et al.  Target Tracking by a Single Camera Based on Range-Window Algorithm and Pattern Matching , 2006 .

[10]  Dimitar Petrov Filev Diagnosing from descriptive knowledge bases , 1997, 1997 Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.97TH8297).

[11]  York Sure-Vetter,et al.  Ontology-Based Information Integration in the Automotive Industry , 2003, SEMWEB.

[12]  Nestor Rychtyckyj DLMS: Ten Years of AI for Vehicle Assembly Process Planning , 1999, AAAI/IAAI.

[13]  Stefan Bussmann,et al.  Self-organizing manufacturing control: an industrial application of agent technology , 2000, Proceedings Fourth International Conference on MultiAgent Systems.

[14]  F. L. Greitzer,et al.  Determining how to do prognostics, and then determining what to do with it , 2001, 2001 IEEE Autotestcon Proceedings. IEEE Systems Readiness Technology Conference. (Cat. No.01CH37237).

[15]  Oleg Y. Gusikhin,et al.  INTEGRATION OF PLANT FLOOR INFORMATION FOR SCHEDULING AND CONTROL , 1996 .

[16]  J. Christian Gerdes,et al.  MULTI-MODAL DIAGNOSTICS FOR VEHICLE FAULT DETECTION , 2001 .

[17]  Udo Grimmer,et al.  REVI-MINER, a KDD-environment for deviation detection and analysis of warranty and goodwill cost statements in automotive industry , 2001, KDD '01.

[18]  Dimitar Filev,et al.  Intelligent agent for automated manufacturing rule generation , 2004, CIKM '04.

[19]  Lee A. Feldkamp,et al.  Parameter‐Based Kalman Filter Training: Theory and Implementation , 2002 .

[20]  Krishna R. Pattipati,et al.  Intelligent model-based diagnostics for vehicle health management , 2003, SPIE Defense + Commercial Sensing.

[21]  Jean-Marc Nigro,et al.  IDRES: A rule-based system for driving situation recognition with uncertainty management , 2003, Inf. Fusion.

[22]  Philip S. Yu,et al.  Data Mining: How Research Meets Practical Development? , 2003, Knowledge and Information Systems.

[23]  Yukihiro Matsubara,et al.  An automatic builder for a Kansei Engineering expert system using self-organizing neural networks , 1995 .

[24]  Udo Grimmer,et al.  Some Recent KDD-Applications at DaimlerChrysler AG , 2002, GI Jahrestagung.

[25]  Friedrich Graf,et al.  Fuzzy expert system for automatic transmission control , 1992, [Proceedings 1992] The First IEEE Conference on Control Applications.

[26]  Mutasim A. Salman,et al.  Fuzzy logic control for parallel hybrid vehicles , 2002, IEEE Trans. Control. Syst. Technol..

[27]  Latifur Khan,et al.  A study of the model and algorithms for handling location-dependent continuous queries , 2005, Knowledge and Information Systems.

[28]  Jay Lee,et al.  Watchdog Agent - an infotronics-based prognostics approach for product performance degradation assessment and prediction , 2003, Adv. Eng. Informatics.

[29]  廣田 薫,et al.  Industrial applications of fuzzy technology in the world , 1995 .

[30]  Wolfgang Minker,et al.  Safety and operating issues for mobile human-machine interfaces , 2003, IUI '03.

[31]  A. E. Eiben,et al.  in Computational Intelligence , 2022 .

[32]  Dimitar Petrov Filev Applied intelligent control - control of automotive paint process , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

[33]  B. Madani,et al.  Using data mining to improve supplier release stability , 2005, NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society.

[34]  Oleg Yurievitch Gusikhin,et al.  E-workcell: a virtual reality web-based decision support system for assembly line planning , 2003 .

[35]  Peter Struss,et al.  Model-Based Systems in the Automotive Industry , 2004, AI Mag..

[36]  Richard Bishop,et al.  Intelligent Vehicle Technology and Trends , 2005 .

[37]  Alexander V. Smirnov,et al.  Soft-computing technologies for configuration of cooperative supply chain , 2004, Appl. Soft Comput..

[38]  G. Vachtsevanos,et al.  Shipboard machinery diagnostics and prognostics/condition based maintenance: a progress report , 2000, 2000 IEEE Aerospace Conference. Proceedings (Cat. No.00TH8484).

[39]  Paul Heisterkamp Linguatronic: Product-Level Speech System for Mercedes-Benz Car , 2001, HLT.

[40]  Nestor Rychtyckyj Ergonomics Analysis for Vehicle Assembly Using Artificial Intelligence , 2005, AI Mag..

[41]  Lee A. Feldkamp,et al.  Signal Processing by Neural Networks to Create "Virtual" Sensors and Model-Based Diagnostics , 1996, ICANN.

[42]  Ramasamy Uthurusamy Trends and Challenges in the Industrial Applications of KDD , 2003, PAKDD.

[43]  Deborah L. McGuinness,et al.  The General Motors Variation-Reduction Adviser: Deployment Issues for an AI Application , 2004, AAAI.

[44]  Mitsuo Nagamachi,et al.  Kansei engineering as a powerful consumer-oriented technology for product development. , 2002, Applied ergonomics.

[45]  Jie Cheng,et al.  Vehicle sequencing based on evolutionary computation , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[46]  Chris A. McMahon,et al.  A Web-enabled virtual repository for supporting distributed automotive component development , 2004, Adv. Eng. Informatics.

[47]  Richard J. Mayer,et al.  Coolsys: A Cooling Systems Design Assistant , 1989, IAAI.

[48]  A.L. Tascillo,et al.  Predicting a vehicle or pedestrian's next move with neural networks , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

[49]  Michal Pechoucek,et al.  Expectations and deployment of agent technology in manufacturing and defence: case studies , 2005, AAMAS '05.

[50]  Mahmoud Boufaïda,et al.  Supporting virtual enterprise systems using agent coordination , 2004, Knowledge and Information Systems.

[51]  Guy Theraulaz,et al.  Dynamic Scheduling and Division of Labor in Social Insects , 2000, Adapt. Behav..

[52]  H. Takahashi Automatic speed control device using self-tuning fuzzy logic , 1988, 1988., IEEE Workshop on Automotive Applications of Electronics.

[53]  George Vachtsevanos,et al.  Fault prognosis using dynamic wavelet neural networks , 2001, 2001 IEEE Autotestcon Proceedings. IEEE Systems Readiness Technology Conference. (Cat. No.01CH37237).

[54]  David Alfred Ostrowski,et al.  Evaluating strategies for foreign exchange risk reduction , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[55]  J. Christian Gerdes,et al.  A Probabilistic Vehicle Diagnostic System Using Multiple Models , 2003, IAAI.

[56]  Xiangjun Wu,et al.  Multiple abstraction levels in automobile transmission design: constraint satisfaction formulations and implementations , 1993 .

[57]  Hironobu Takahashi FUZZY APPLICATIONS FOR AUTOMOBILES , 1995 .

[58]  D. Filev,et al.  Clustering techniques for rule extraction from unstructured text fragments , 2005, NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society.

[59]  Nestor Rychtyckyj An Assessment of Machine Translation for Vehicle Assembly Process Planning at Ford Motor Company , 2002, AMTA.

[60]  C. von Altrock Fuzzy logic technologies in automotive engineering , 1994 .

[61]  Stan Kwiecien,et al.  Driving Knowledge Management at Ford Motor Company , 2003 .

[62]  Raymond Kurzweil,et al.  Age of intelligent machines , 1990 .

[63]  Krishna R. Pattipati,et al.  Model-based prognostic techniques [maintenance applications] , 2003, Proceedings AUTOTESTCON 2003. IEEE Systems Readiness Technology Conference..

[64]  Atul Bajpai,et al.  Charley: An Expert System for Diagnostics of Manufacturing Equipment , 1989, IAAI.

[65]  Roberto Pieraccini,et al.  Multimodal conversational systems for automobiles , 2004, CACM.