Progress with situation assessment and risk prediction in advanced driver assistance systems: A survey

16th ITS World Congress

Volumn , Issue , 2009, Pages

  Rendon Velez, Elizabeth ^a   Horváth, Imre ^a   Opiyo, Eliab Z ^a  

^a FACULTY OF INDUSTRIAL DESIGN ENGINEERING   (Netherlands)

Author keywords

ADAS; Driver adaptive reasoning; Driver vehicle environment arrangement; Realtime assistance; Risk prediction; Situation assessment

Indexed keywords

AUTOMOBILE DRIVERS; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; RISK ASSESSMENT; SAFETY ENGINEERING; SURVEYS; TRAFFIC CONTROL;

ADAS; DRIVER-ADAPTIVE REASONING; DRIVER-VEHICLE ENVIRONMENT; REAL TIME; RISK PREDICTIONS; SITUATION ASSESSMENT;

ADVANCED DRIVER ASSISTANCE SYSTEMS;

EID: 84954529249     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (65)

1. M. Peden, R. Scurfield, D. Sleet, D. Mohan, A. A. Hyder, E. Jarawan, and C. Mathers, World Report on Road Traffic Injury Prevention. Geneva, Switzerland, 2004.
2. A. Beutner, J. Nilsson, A. Polychronopoulos, M. Netto, D. John, and S. Martini, "SAFELANE a prevent project," 2007.
3. R. Bishop, "Intelligent vehicle applications worldwide," IEEE Intelligent Systems, Vol. 15, pp. 78-81, 2000.
4. S. Glaser, A. Rakotonirainy, D. Gruyer, and L. Nouveliere, "An Integrated Driver-Vehicle-Environment (I-DVE) model to assess crash risks," 2007.
5. M. M. Trivedi, T. Gandhi, and J. McCall, "Looking-in and looking-out of a vehicle: Computer-vision-based enhanced vehicle safety," IEEE Transactions on Intelligent Transportation Systems, Vol. 8, pp. 108-120, 2007.
6. M. Tsogas, A. Polychronopoulos, N. Floudas, and A. Amditis, "Situation refinement for vehicle maneuver identification and driver's intention prediction," in FUSION 2007-2007 10th International Conference on Information Fusion, Quebec, QC, 2007.
7. Z. Sun, G. Bebis, and R. Miller, "On-road vehicle detection: A review," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, pp. 694-711, 2006.
8. V. Kastrinaki, M. Zervakis, and K. Kalaitzakis, "A survey of video processing techniques for traffic applications," Image and Vision Computing, Vol. 21, pp. 359-381, 2003.
9. M. Bertozzi, A. Broggi, M. Cellario, A. Fascioli, P. Lombardi, and M. Porta, "Artificial vision in road vehicles," Proceedings of the IEEE, Vol. 90, pp. 1258-1270, 2002.
10. V. L. Neale and T. A. Dingu, "Motor vehicle warnings," in Handbook of warnings, M. S. Wogalter, Ed.: Lawrence Erlbaum Associates, 2006.
11. M. R. Endsley, "Theoretical underpinnings of situation awareness: A critical review," Situation Awareness Analysis and Measurement, pp. 3-32, 2000.
12. Q. Wang, J. Yang, M. Ren, and Y. Zheng, "Driver fatigue detection: A survey," in Proceedings of the World Congress on Intelligent Control and Automation (WCICA), Dalian, 2006, pp. 8587-8591.
13. T. Gandhi and M. M. Trivedi, "Pedestrian collision avoidance systems: A survey of computer vision based recent studies," in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, Toronto, ON, 2006, pp. 976-981.
14. M. Gonzalez-Mendoza, B. Jammes, N. Hernandez-Gress, A. Titli, and D. Esteve, "A comparison of road departure warning systems on real driving conditions," in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, Washington, DC, 2004, pp. 349-354.
15. C. C. Macadam, "Understanding and modeling the human driver," Vehicle System Dynamics, Vol. 40, pp. 101-134, 2003.
16. M. Plochl and J. Edelmann, "Driver models in automobile dynamics application," Vehicle System Dynamics, Vol. 45, pp. 699-741, 2007.
17. A. Polychronopoulos, C. Koutsimanis, M. Tsogas, and A. Amditis, "Prediction of unintentional lane departure using evidence theory," in 2005 7th International Conference on Information Fusion, FUSION, Philadelphia, PA, 2005, pp. 1396-1403.
18. J. M. Nigro, S. Loriette-Rougegrez, and M. Rombaut, "Driving situation recognition with uncertainty management and rule-based systems," Engineering Applications of Artificial Intelligence, Vol. 15, pp. 217-228, 2002.
19. M. Schulze, T. Mäkinen, J. Irion, M. Flament, and T. Kessel, "Prevent final report," PReVENT Consortium 2008.
20. S. Jamson, R. Batley, V. Portouli, V. Papakostopoulos, A. Tapani, J. Lundgren, Y.-H. Huang, E. Hollnagel, and W. Janssen, "Obtaining the functions describing the relations between behaviour and risk," 2004.
21. Y. C. Liu and M. H. Wen, "Comparison of head-up display (HUD) vs. head-down display (HDD): Driving performance of commercial vehicle operators in Taiwan," International Journal of Human Computer Studies, Vol. 61, pp. 679-697, 2004.
22. J. J. Scott and R. Gray, "A comparison of tactile, visual, and auditory warnings for rear-end collision prevention in simulated driving," Human Factors, Vol. 50, pp. 264-275, 2008.
23. J. Engstrom, J. Arfwidsson, A. Amditis, L. Andreone, K. Bengler, P. C. Cacciabue, W. Janssen, H. Kussman, F. Nathan, J. Valldorf, and W. Gessner, "Towards the automotive HMI of the future: Mid-term results of the AIDE project," Advanced Microsystems for Automotive Applications 2006, 2006.
24. D. B. Maciuca, J. C. Gerdes, and J. K. Hedrick, "Automatic Braking Control for IVHS," Proceedings of the International Symposium on Advanced Vehicle Control (AVEC 1994), 1994.
25. M. S. Netto, S. Chaib, and S. Mammar, "Lateral adaptive control for vehicle lane keeping," in Proceedings of the American Control Conference, Boston, MA, 2004, pp. 2693-2698.
26. C. Matheus, M. Kokar, K. Baclawski, J. A. Letkowski, and C. Call, "SAWA: An assistant for higher-level fusion and situation awareness," Proc. SPIE, 2005.
27. A. Polychronopoulos, A. Amditis, U. Scheunert, and T. Tatschke, "Revisiting JDL model for automotive safety applications: The PF2 functional model," in 2006 9th International Conference on Information Fusion, FUSION, Florence, 2006.
28. J. Ivansson, "Situation assessment in a stochastic environment using bayesian networks," in Department of Electrical Engineering: Linköping University, 2002.
29. J. Edlund, M. Gronkvist, A. Lingvall, and E. Sviestins, "Rule-based situation assessment for sea surveillance," 2006, p. 624203.
30. M. L. Hinman, "Some computational approaches for situation assessment and impact assessment," Proceedings of the Fifth International Conference on Information Fusion, pp. 687-693, 2002.
31. S. Das, R. Grey, and P. Gonsalves, "Situation assessment via Bayesian belief networks," Proceedings of the Fifth International Conference on Information Fusion, Vol. 1, pp. 664-671, 2002.
32. N. Okello and G. Thorns, "Threat assessment using Bayesian networks," Proc. Sixth International Conference on Information Fusion, Vol. 2, pp. 1102-1109, 2003.
33. S. Das, "Situation assessment in urban combat environments," in 2005 7th International Conference on Information Fusion, FUSION, Philadelphia, PA, 2005.
34. L. R. Liang and C. G. Looney, "Decisionmaking with fuzzy-belief-state-based reasoning," in Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004, Las Vegas, NV, 2004, pp. 553-558.
35. D. J. Dailey, P. Harn, and P.-J. Lin, "ITS Data Fusion," Washington State Transportation Commission 1996.
36. S. Vacek, T. Gindele, J. M. Zollner, and R. Dillmann, "Using case-based reasoning for autonomous vehicle guidance," in IEEE International Conference on Intelligent Robots and Systems, San Diego, CA, 2007, pp. 4271-4276.
37. C. H. Liu, L. S. Chen, and C. C. Hsu, "An association-based case reduction technique for case-based reasoning," Information Sciences, Vol. 178, pp. 3347-3355, 2008.
38. C. G. Looney and L. R. Liang, "Cognitive situation and threat assessments of ground battlespaces," Information Fusion, Vol. 4, pp. 297-308, 2003.
39. S. H. Chen, A. J. Jakeman, and J. P. Norton, "Artificial Intelligence techniques: An introduction to their use for modelling environmental systems," Mathematics and Computers in Simulation, Vol. 78, pp. 379-400, 2008.
40. P. B. Bill, Genetic Algorithms: IEEE Computer Society Press, 1992.
41. R. Laxhammar, "Artificial Intelligence for Situation Assessment," in School of Computer Science and Engineering. vol. Master Stockholm, Sweden: Royal Institute of Technology, 2007.
42. M. Chen, T. Jochem, and D. Pomerleau, "AURORA: A vision-based roadway departure warning system," in IEEE International Conference on Intelligent Robots and Systems, Pittsburgh, PA, USA, 1995, pp. 243-248.
43. W. Kwon and S. Lee, "Performance evaluation of decision making strategies for an embedded lane departure warning system," Journal of Robotic Systems, Vol. 19, pp. 499-509, 2002.
44. D. Pomerleau, T. Jochem, C. Thorpe, P. Batavia, D. Pape, J. Hadden, N. McMillan, N. Brown, and J. Everson, "Run-off-road collision avoidance using IVHS countermeasures - Final report," Technical Report, Vol. DOT HS 809 170, 1999.
45. P. H. Batavia, "Driver-adaptive lane departure warning systems," Driver-adaptive Lane Departure Warning Systems, 1999.
46. T. Pilutti and A. G. Ulsoy, "Fuzzy-logic-based virtual rumble strip for road departure warning systems," IEEE Transactions on Intelligent Transportation Systems, Vol. 4, pp. 1-12, 2003.
47. C. Sentouh, S. Glaser, S. Mammar, Y. Bestaoui, and B. Lusetti, "Adaptive Lane Departure and Curve Negotiation Warning System," in 8th International Symposium on Advanced Vehicle Control (AVEC'06) Taipei, Taiwan, 2006.
48. V. Aguilera and S. Glaser, "Data requirements for enhanced digital maps in an advanced curve-speed warning system," Transportation Research Record, pp. 109-118, 2004.
49. S. Glaser, L. Nouveliere, and B. Lusetti, "Speed limitation based on an advanced curve warning system," in IEEE Intelligent Vehicles Symposium, Proceedings, Istanbul, 2007, pp. 686-691.
50. M. Brannstrom, J. Sjoberg, and E. Coelingh, "A situation and threat assessment algorithm for a rear-end collision avoidance system," in Intelligent Vehicles Symposium, 2008 IEEE, 2008, pp. 102-107.
51. J. Pohl, W. Birk, and L. Westervall, "A driver-distraction-based lane-keeping assistance system," Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, Vol. 221, pp. 541-552, 2007.
52. C. Schlenoff, R. Madhavan, and S. Balakirsky, "An approach to predicting the location of moving objects during on-road navigation," Proceedings of the Workshop on Issues in Designing Physical Agents for Dynamic Real-time Environments: World Modeling, Planning, Learning, an Communicating at the International Joint Conference on Artificial Intelligence (UCAI-03), pp. 71-79, 2003.
53. A. Broadhurst, S. Baker, and T. Kanade, "Monte Carlo road safety reasoning," in IEEE Intelligent Vehicles Symposium, Proceedings, Las Vegas, NV, 2005, pp. 319-324.
54. H. Cheng, N. Zheng, X. Zhang, J. Qin, and H. Van De Wetering, "Interactive road situation analysis for driver assistance and safety warning systems: Framework and algorithms," IEEE Transactions on Intelligent Transportation Systems, Vol. 8, pp. 157-166, 2007.
55. I. Dagli, M. Brost, and G. Breuel, "Action recognition and prediction for driver assistance systems using dynamic belief networks," in Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), Erfurt, 2003, pp. 179-194.
56. I. Dagli and D. Reichardt, "Motivation-based approach to behavior prediction," in Intelligent Vehicle Symposium, 2002. IEEE, 2002, pp. 227-233 Vol. 1.
57. A. D. Lattner, I. J. Timm, M. Lorenz, and O. Herzog, "Knowledge-based risk assessment for intelligent vehicles," in Integration of Knowledge Intensive MultiAgent Systems, 2005. International Conference on, 2005, pp. 191-196.
58. V. Aguilera, S. Glaser, and A. Von Amim, "An advanced driver speed assistance in curves: Risk function, cooperation modes, system architecture and experimental validation," in IEEE Intelligent Vehicles Symposium, Proceedings, Las Vegas, NV, 2005, pp. 807-812.
59. S. Danielsson, L. Petersson, and A. Eidehall, "Monte Carlo based threat assessment: Analysis and improvements," in IEEE Intelligent Vehicles Symposium, Proceedings, Istanbul, 2007, pp. 233-238.
60. E. Dagan, O. Mano, G. P. Stein, and A. Shashua, "Forward collision warning with a single camera," in IEEE Intelligent Vehicles Symposium, Proceedings, Parma, 2004, pp. 37-42.
61. A. Polychronopoulos, M. Tsogas, A. Amditis, U. Scheunert, L. Andreone, and F. Tango, "Dynamic situation and threat assessment for collision warning systems: The EUCLIDE approach," in IEEE Intelligent Vehicles Symposium, Proceedings, Parma, 2004, pp. 636-641.
62. R. Karlsson, J. Jansson, and F. Gustafsson, "Model-based statistical tracking and decision making for collision avoidance application," in Proceedings of the American Control Conference, Boston, MA, 2004, pp. 3435-3440.
63. A. Eidehall and L. Petersson, "Statistical threat assessment for general road scenes using Monte Carlo sampling," IEEE Transactions on Intelligent Transportation Systems, Vol. 9, pp. 137-147, 2008.
64. S. Chen and A. Rakotonirainy, "A crash risk assessment model for road curves," 2007.
65. A. Polychronopoulos, A. Amditis, and E. Bekiaris, "Information data flow in AWAKE multi-sensor driver monitoring system," in IEEE Intelligent Vehicles Symposium, Proceedings, Parma, 2004, pp. 902-906.