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2023 | OriginalPaper | Chapter

Driver Assistance Systems and Safety—Assessment and Challenges

Authors : Jinwei Zhou, Pavlo Tkachenko, Daniel Adelberger, Luigi del Re

Published in: AI-enabled Technologies for Autonomous and Connected Vehicles

Publisher: Springer International Publishing

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Abstract

Safety assessment of Highly Automated Vehicles, including Advanced Driver Assistance Systems and Advanced Driving Functions, is of paramount importance for the acceptance and diffusion of these technologies. On-road testing alone is no option due to the enormous time requirements, so virtual testing is generally considered to be a necessary complement. While more time efficient than on road testing, also virtual testing cannot be performed for all possible situations. Moreover, virtual testing can be even misleading if the considered scenarios are not realistic or do not include the critical situations which can occur in the intended real traffic use. Against this background, we discuss different options and challenges as well as outlooks.

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Appendix
Available only for authorised users
Footnotes
1
There is no unique definition of level of automation in vehicles, the most common used one being the SAE [6], where level 0 stands for not automated and level 5 stand for fully automated vehicle.
 
4
National Motor Vehicle Crash Causation Survey (NMVCCS).
 
5
The Second Strategic Highway Research Program (SHRP 2) Naturalistic Driving Study(NDS), known to be the largest study of naturalistic driving behaviors available to date [26].
 
Literature
5.
go back to reference Singh S (2018) Critical reasons for crashes investigated in the national motor vehicle crash causation survey Singh S (2018) Critical reasons for crashes investigated in the national motor vehicle crash causation survey
9.
go back to reference Borges JL (1999) The library of babel. In: Borges JL (ed) Collected fictions. Penguin Borges JL (1999) The library of babel. In: Borges JL (ed) Collected fictions. Penguin
13.
go back to reference Menzel T, Bagschik G, Maurer M (2018) Scenarios for development, test and validation of automated vehicles. In: 2008 IEEE Intelligent Vehicles Symposium (IV). IEEE 2018:1821–1827 Menzel T, Bagschik G, Maurer M (2018) Scenarios for development, test and validation of automated vehicles. In: 2008 IEEE Intelligent Vehicles Symposium (IV). IEEE 2018:1821–1827
14.
go back to reference Lee CW, Nayeer N, Garcia DE, Agrawal A, Liu B (2020) Identifying the operational design domain for an automated driving system through assessed risk. IEEE Intell Veh Symp (IV) 2020:1317–1322 Lee CW, Nayeer N, Garcia DE, Agrawal A, Liu B (2020) Identifying the operational design domain for an automated driving system through assessed risk. IEEE Intell Veh Symp (IV) 2020:1317–1322
15.
go back to reference Czarnecki K (2018) Operational design domain for automated driving systems Czarnecki K (2018) Operational design domain for automated driving systems
16.
go back to reference Zhao D, Lam H, Peng H, Bao S, LeBlanc DJ, Nobukawa K, Pan CS (2016)Accelerated evaluation of automated vehicles based on importance sampling techniques. CoRR. abs/1605.04965 Zhao D, Lam H, Peng H, Bao S, LeBlanc DJ, Nobukawa K, Pan CS (2016)Accelerated evaluation of automated vehicles based on importance sampling techniques. CoRR. abs/1605.04965
17.
go back to reference Gietelink O, De Schutter B, Verhaegen M (2005) Probabilistic approach for validation of advanced driver assistance systems. Transp Res Rec J Transp Res Board 1910:20–28CrossRef Gietelink O, De Schutter B, Verhaegen M (2005) Probabilistic approach for validation of advanced driver assistance systems. Transp Res Rec J Transp Res Board 1910:20–28CrossRef
18.
go back to reference Li N, Oyler DW, Zhang M, Yildiz Y, Kolmanovsky I, Girard AR (2017) Game theoretic modeling of driver and vehicle interactions for verification and validation of autonomous vehicle control systems. IEEE Trans Control Syst Technol Li N, Oyler DW, Zhang M, Yildiz Y, Kolmanovsky I, Girard AR (2017) Game theoretic modeling of driver and vehicle interactions for verification and validation of autonomous vehicle control systems. IEEE Trans Control Syst Technol
19.
go back to reference Schaedler O, Mueller S, Gruendl M (2013) Entwicklung eines verfahrens und der dazugehoerigen hard-und software zur bewertung und verbesserung der controllability von fahrerassistenzsystemen (confas). VDI-Berichte, no. 2205 Schaedler O, Mueller S, Gruendl M (2013) Entwicklung eines verfahrens und der dazugehoerigen hard-und software zur bewertung und verbesserung der controllability von fahrerassistenzsystemen (confas). VDI-Berichte, no. 2205
20.
go back to reference Schuldt F, Saust F, Lichte B, Maurer M, Scholz S (2013) Effiziente systematische testgenerierung für fahrerassistenzsysteme in virtuellen umgebungen, AAET2013-Automatisierungssysteme. Assistenzsysteme und eingebettete Systeme für Transportmittel, Braunschweig Schuldt F, Saust F, Lichte B, Maurer M, Scholz S (2013) Effiziente systematische testgenerierung für fahrerassistenzsysteme in virtuellen umgebungen, AAET2013-Automatisierungssysteme. Assistenzsysteme und eingebettete Systeme für Transportmittel, Braunschweig
21.
go back to reference Domsch C, Negele H (2008) Einsatz von referenzfahrsituation bei der entwicklung von fahrerassistenzsystemen. In: 3. Tagung Aktive Sicherheit durch Fahrerassistenz Domsch C, Negele H (2008) Einsatz von referenzfahrsituation bei der entwicklung von fahrerassistenzsystemen. In: 3. Tagung Aktive Sicherheit durch Fahrerassistenz
22.
go back to reference Huang L, Xia Q, Xie F, Xiu HL, Shu H (2018) Study on the test scenarios of level 2 automated vehicles. In: 2018 IEEE intelligent vehicles symposium (IV). IEEE 49–54 Huang L, Xia Q, Xie F, Xiu HL, Shu H (2018) Study on the test scenarios of level 2 automated vehicles. In: 2018 IEEE intelligent vehicles symposium (IV). IEEE 49–54
23.
go back to reference Huy Do Q, Tehrani H, Egawa M, Muto K, Yoneda K, Mita S (2015) Distance constraint model for automated lane change to merge or exit. In: FAST-zero’15: 3rd international symposium on future active safety technology toward zero traffic accidents Huy Do Q, Tehrani H, Egawa M, Muto K, Yoneda K, Mita S (2015) Distance constraint model for automated lane change to merge or exit. In: FAST-zero’15: 3rd international symposium on future active safety technology toward zero traffic accidents
24.
go back to reference Bagschik G, Menzel T, Maurer M (2018) Ontology based scene creation for the development of automated vehicles. In 2018 IEEE intelligent vehicles symposium (IV). IEEE, pp 813–1820 Bagschik G, Menzel T, Maurer M (2018) Ontology based scene creation for the development of automated vehicles. In 2018 IEEE intelligent vehicles symposium (IV). IEEE, pp 813–1820
25.
go back to reference Singh S (2015) Critical reasons for crashes investigated in the national motor vehicle crash causation survey. Technical Report Singh S (2015) Critical reasons for crashes investigated in the national motor vehicle crash causation survey. Technical Report
26.
go back to reference Hankey JM, Perez MA, McClafferty JA (2016) Description of the SHRP 2 naturalistic database and the crash, near-crash, and baseline data sets. Technical Report, Virginia Tech Transportation Institute Hankey JM, Perez MA, McClafferty JA (2016) Description of the SHRP 2 naturalistic database and the crash, near-crash, and baseline data sets. Technical Report, Virginia Tech Transportation Institute
27.
go back to reference Menzel T, Bagschik G, Isensee L, Schomburg A, Maurer M (2019) From functional to logical scenarios: Detailing a keyword-based scenario description for execution in a simulation environment. In: 2019 IEEE intelligent vehicles symposium (IV). IEEE, pp 2383–2390 Menzel T, Bagschik G, Isensee L, Schomburg A, Maurer M (2019) From functional to logical scenarios: Detailing a keyword-based scenario description for execution in a simulation environment. In: 2019 IEEE intelligent vehicles symposium (IV). IEEE, pp 2383–2390
28.
go back to reference Pütz A, Zlocki A, Bock J, Eckstein L (2017) System validation of highly automated vehicles with a database of relevant traffic scenarios. Situations 1:E5 Pütz A, Zlocki A, Bock J, Eckstein L (2017) System validation of highly automated vehicles with a database of relevant traffic scenarios. Situations 1:E5
29.
go back to reference Kruber F, Wurst J, Morales ES, Chakraborty S, Botsch M (2019) Unsupervised and supervised learning with the random forest algorithm for traffic scenario clustering and classification. In: IEEE intelligent vehicles symposium (IV) 2019, pp 2463–2470 Kruber F, Wurst J, Morales ES, Chakraborty S, Botsch M (2019) Unsupervised and supervised learning with the random forest algorithm for traffic scenario clustering and classification. In: IEEE intelligent vehicles symposium (IV) 2019, pp 2463–2470
30.
go back to reference Tkachenko P, Zhou J, del Re L (2019) Unsupervised clustering of highway motion patterns. In IEEE intelligent transportation systems conference (ITSC) 2019, pp 2337–2342 Tkachenko P, Zhou J, del Re L (2019) Unsupervised clustering of highway motion patterns. In IEEE intelligent transportation systems conference (ITSC) 2019, pp 2337–2342
31.
go back to reference Zhou J, del Re L (2017) Identification of critical cases of ADAS safety by FOT based parameterization of a catalogue. In: Control conference (ASCC) (2017) 11th Asian. IEEE, pp 453–458 Zhou J, del Re L (2017) Identification of critical cases of ADAS safety by FOT based parameterization of a catalogue. In: Control conference (ASCC) (2017) 11th Asian. IEEE, pp 453–458
32.
go back to reference Zhou J, del Re L (2018) Safety verification of adas by collision-free boundary searching of a parameterized catalog. In: American control conference (ACC) 2018. IEEE Zhou J, del Re L (2018) Safety verification of adas by collision-free boundary searching of a parameterized catalog. In: American control conference (ACC) 2018. IEEE
33.
go back to reference Xu Y, Zou Y, Sun J (2018) Accelerated testing for automated vehicles safety evaluation in cut-in scenarios based on importance sampling, genetic algorithm and simulation applications. J Intell Connected Veh Xu Y, Zou Y, Sun J (2018) Accelerated testing for automated vehicles safety evaluation in cut-in scenarios based on importance sampling, genetic algorithm and simulation applications. J Intell Connected Veh
34.
go back to reference Beglerovic H, Ravi A, Wikström N, Koegeler H-M, Leitner A, Holzinger J (2017) Model-based safety validation of the automated driving functio highway pilot. In: 8th international Munich Chassis symposium 2017. Springer, Berlin, pp 309–329 Beglerovic H, Ravi A, Wikström N, Koegeler H-M, Leitner A, Holzinger J (2017) Model-based safety validation of the automated driving functio highway pilot. In: 8th international Munich Chassis symposium 2017. Springer, Berlin, pp 309–329
35.
go back to reference Renninger P, Aleksandrov M (2005) “Rapid hull determination: a new method to determine the design space for model based approaches. Design of Experiments (DoE) in Engine Development II. Expert-Verlag, Renningen Renninger P, Aleksandrov M (2005) “Rapid hull determination: a new method to determine the design space for model based approaches. Design of Experiments (DoE) in Engine Development II. Expert-Verlag, Renningen
36.
go back to reference Pukelsheim F (2006) Optimal design of experiments, classics in appl Pukelsheim F (2006) Optimal design of experiments, classics in appl
37.
go back to reference Oyama H, Yamakita M, Sata K, Ohata A (2016) Identification of static boundary model based on gaussian process classification. IFAC-PapersOnLine 49(11):787–792CrossRef Oyama H, Yamakita M, Sata K, Ohata A (2016) Identification of static boundary model based on gaussian process classification. IFAC-PapersOnLine 49(11):787–792CrossRef
38.
go back to reference Kampmann G, Kieft N, Nelles O (2012) Support vector machines for design space exploration. In: Proceedings of the world congress on engineering and computer science, vol 2, pp 1116–1121 Kampmann G, Kieft N, Nelles O (2012) Support vector machines for design space exploration. In: Proceedings of the world congress on engineering and computer science, vol 2, pp 1116–1121
39.
go back to reference Houenou A, Bonnifait P, Cherfaoui V, Yao W (2013) Vehicle trajectory prediction based on motion model and maneuver recognition. In: IEEE/RSJ international conference on intelligent robots and systems. IEEE, vol 2013, pp 4363–4369 Houenou A, Bonnifait P, Cherfaoui V, Yao W (2013) Vehicle trajectory prediction based on motion model and maneuver recognition. In: IEEE/RSJ international conference on intelligent robots and systems. IEEE, vol 2013, pp 4363–4369
40.
go back to reference Lefèvre S, Vasquez D, Laugier C (2014) A survey on motion prediction and risk assessment for intelligent vehicles. ROBOMECH J 1(1):1–14CrossRef Lefèvre S, Vasquez D, Laugier C (2014) A survey on motion prediction and risk assessment for intelligent vehicles. ROBOMECH J 1(1):1–14CrossRef
41.
go back to reference Deo N, Trivedi MM (2018) Convolutional social pooling for vehicle trajectory prediction. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp 1468–1476 Deo N, Trivedi MM (2018) Convolutional social pooling for vehicle trajectory prediction. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp 1468–1476
42.
go back to reference Reisinger S, Adelberger D, del Re L (2021) A two-layer switching based trajectory prediction method. Eur J Control Reisinger S, Adelberger D, del Re L (2021) A two-layer switching based trajectory prediction method. Eur J Control
43.
go back to reference Althoff M, Mergel A (2011) Comparison of Markov chain abstraction and monte Carlo simulation for the safety assessment of autonomous cars. IEEE Trans Intell Transp Syst 12(4):1237–1247CrossRef Althoff M, Mergel A (2011) Comparison of Markov chain abstraction and monte Carlo simulation for the safety assessment of autonomous cars. IEEE Trans Intell Transp Syst 12(4):1237–1247CrossRef
44.
go back to reference Söntges S, Althoff M (2018) Computing the drivable area of autonomous road vehicles in dynamic road scenes. IEEE Trans Intell Transp Syst 19(6):1855–1866CrossRef Söntges S, Althoff M (2018) Computing the drivable area of autonomous road vehicles in dynamic road scenes. IEEE Trans Intell Transp Syst 19(6):1855–1866CrossRef
45.
go back to reference Manzinger S, Althoff M (2018) Tactical decision making for cooperative vehicles using reachable sets. In: Proceedings of the 21st IEEE international conference on intelligent transportation systems Manzinger S, Althoff M (2018) Tactical decision making for cooperative vehicles using reachable sets. In: Proceedings of the 21st IEEE international conference on intelligent transportation systems
46.
go back to reference Karaduman O, Eren H, Kurum H, Celenk M (2016) Road-geometry-based risk estimation model for horizontal curves. IEEE Trans Intell Transp Syst 17(6):1617–1627CrossRef Karaduman O, Eren H, Kurum H, Celenk M (2016) Road-geometry-based risk estimation model for horizontal curves. IEEE Trans Intell Transp Syst 17(6):1617–1627CrossRef
47.
go back to reference Damerow F, Puphal T, Li Y, Eggert J (2017, June) Risk-based driver assistance for approaching intersections of limited visibility. In: 2017 IEEE international conference on vehicular electronics and safety (ICVES), pp 178–184 Damerow F, Puphal T, Li Y, Eggert J (2017, June) Risk-based driver assistance for approaching intersections of limited visibility. In: 2017 IEEE international conference on vehicular electronics and safety (ICVES), pp 178–184
48.
go back to reference Adelberger D, del Re L (2021) Robust handling of diffuse hazard in country road traffic. In: American control conference (ACC). IEEE, pp 418–423 Adelberger D, del Re L (2021) Robust handling of diffuse hazard in country road traffic. In: American control conference (ACC). IEEE, pp 418–423
49.
go back to reference Bichiou Y, Rakha HA (2019) Developing an optimal intersection control system for automated connected vehicles. IEEE Trans Intell Transp Syst 20(5):1908–1916CrossRef Bichiou Y, Rakha HA (2019) Developing an optimal intersection control system for automated connected vehicles. IEEE Trans Intell Transp Syst 20(5):1908–1916CrossRef
50.
go back to reference Darbha S, Rajagopal K (1999) Intelligent cruise control systems and traffic flow stability. Transp Res Part C Emerg Technol 7(6):329–352CrossRef Darbha S, Rajagopal K (1999) Intelligent cruise control systems and traffic flow stability. Transp Res Part C Emerg Technol 7(6):329–352CrossRef
51.
go back to reference Barcelo J et al (2010) Fundamentals of traffic simulation, vol 145. Springer, Berlin Barcelo J et al (2010) Fundamentals of traffic simulation, vol 145. Springer, Berlin
52.
go back to reference Deery HA (2000) Hazard and risk perception among young novice drivers. J Saf Res 30(4):225–236CrossRef Deery HA (2000) Hazard and risk perception among young novice drivers. J Saf Res 30(4):225–236CrossRef
53.
go back to reference Siren A, Kjær MR (2011) How is the older road users’ perception of risk constructed? Transp Res Part F Traffic Psychol Behav 14(3):222–228CrossRef Siren A, Kjær MR (2011) How is the older road users’ perception of risk constructed? Transp Res Part F Traffic Psychol Behav 14(3):222–228CrossRef
54.
go back to reference Crundall D, Chapman P, Trawley S, Collins L, van Loon E, Andrews B, Underwood G (2012) Some hazards are more attractive than others: drivers of varying experience respond differently to different types of hazard. Accid Anal Prev 45:600–609CrossRef Crundall D, Chapman P, Trawley S, Collins L, van Loon E, Andrews B, Underwood G (2012) Some hazards are more attractive than others: drivers of varying experience respond differently to different types of hazard. Accid Anal Prev 45:600–609CrossRef
55.
go back to reference Wilde GJ (1982) The theory of risk homeostasis: implications for safety and health. Risk Anal 2(4):209–225CrossRef Wilde GJ (1982) The theory of risk homeostasis: implications for safety and health. Risk Anal 2(4):209–225CrossRef
56.
go back to reference Svensson Å (1998) A method for analysing the traffic process in a safety perspective. Ph.D. dissertation, Lund University Svensson Å (1998) A method for analysing the traffic process in a safety perspective. Ph.D. dissertation, Lund University
57.
go back to reference Schildbach G, Borrelli F (2016) A dynamic programming approach for nonholonomic vehicle maneuvering in tight environments. In: IEEE intelligent vehicles symposium (IV). IEEE, vol 2016, pp 151–156 Schildbach G, Borrelli F (2016) A dynamic programming approach for nonholonomic vehicle maneuvering in tight environments. In: IEEE intelligent vehicles symposium (IV). IEEE, vol 2016, pp 151–156
58.
go back to reference Swaroop D, Rajagopal KR (2001) A review of constant time headway policy for automatic vehicle following. In: Proceedings of IEEE intelligent transportation systems, pp 65–69 Swaroop D, Rajagopal KR (2001) A review of constant time headway policy for automatic vehicle following. In: Proceedings of IEEE intelligent transportation systems, pp 65–69
59.
go back to reference Charly A, Mathew TV (2017) Estimation of modified time to collision as surrogate for mid-block crashes under mixed traffic conditions Charly A, Mathew TV (2017) Estimation of modified time to collision as surrogate for mid-block crashes under mixed traffic conditions
60.
go back to reference Gettman D, Head L (2003) Surrogate safety measures from traffic simulation models. Transp Res Rec 1840(1):104–115CrossRef Gettman D, Head L (2003) Surrogate safety measures from traffic simulation models. Transp Res Rec 1840(1):104–115CrossRef
61.
go back to reference NCAP E (2018) Euro NCAP Rating Review 2018. Technical Report, Euro NCAP NCAP E (2018) Euro NCAP Rating Review 2018. Technical Report, Euro NCAP
62.
go back to reference Wu M, Wang J, Deshmukh J, Wang C (2019) Shield synthesis for real: enforcing safety in cyber-physical systems. In: Formal Methods in Computer Aided Design (FMCAD). IEEE 2019:129–137 Wu M, Wang J, Deshmukh J, Wang C (2019) Shield synthesis for real: enforcing safety in cyber-physical systems. In: Formal Methods in Computer Aided Design (FMCAD). IEEE 2019:129–137
63.
go back to reference Bloem R, Chatterjee K, Greimel K, Henzinger TA, Hofferek G, Jobstmann B, Könighofer B, Könighofer R (2014) Synthesizing robust systems. Acta Informatica 51(3–4):193–220MathSciNetCrossRef Bloem R, Chatterjee K, Greimel K, Henzinger TA, Hofferek G, Jobstmann B, Könighofer B, Könighofer R (2014) Synthesizing robust systems. Acta Informatica 51(3–4):193–220MathSciNetCrossRef
64.
go back to reference Bloem R, Könighofer B, Könighofer R, Wang C (2015) Shield synthesis. In: International conference on tools and algorithms for the construction and analysis of systems. Springer, Berlin, pp 533–548 Bloem R, Könighofer B, Könighofer R, Wang C (2015) Shield synthesis. In: International conference on tools and algorithms for the construction and analysis of systems. Springer, Berlin, pp 533–548
65.
go back to reference Raman V, Donzé A, Sadigh D, Murray RM, Seshia SA (2015) Reactive synthesis from signal temporal logic specifications. In: Proceedings of the 18th international conference on hybrid systems: computation and control, pp 239–248 Raman V, Donzé A, Sadigh D, Murray RM, Seshia SA (2015) Reactive synthesis from signal temporal logic specifications. In: Proceedings of the 18th international conference on hybrid systems: computation and control, pp 239–248
66.
go back to reference Nilsson P, Hussien O, Balkan A, Chen Y, Ames AD, Grizzle JW, Ozay N, Peng H, Tabuada P (2016) Correct-by-construction adaptive cruise control: two approaches. IEEE Trans Control Syst Technol 24(4):1294–1307CrossRef Nilsson P, Hussien O, Balkan A, Chen Y, Ames AD, Grizzle JW, Ozay N, Peng H, Tabuada P (2016) Correct-by-construction adaptive cruise control: two approaches. IEEE Trans Control Syst Technol 24(4):1294–1307CrossRef
67.
go back to reference Pek C, Koschi M, Althoff M (2019) An online verification framework for motion planning of self-driving vehicles with safety guarantees. In: AAET—Automatisiertes und vernetztes Fahren, pp 260–274 Pek C, Koschi M, Althoff M (2019) An online verification framework for motion planning of self-driving vehicles with safety guarantees. In: AAET—Automatisiertes und vernetztes Fahren, pp 260–274
68.
go back to reference Pek C, Althoff M (2019) Ensuring motion safety of autonomous vehicles through online fail-safe verification. In: Robotics: science and systems—Pioneers workshop Pek C, Althoff M (2019) Ensuring motion safety of autonomous vehicles through online fail-safe verification. In: Robotics: science and systems—Pioneers workshop
69.
go back to reference Gruber F, Althoff M (2018) Anytime safety verification of autonomous vehicles. In: IEEE conference on intelligent transportation systems, pp 1708–1714 Gruber F, Althoff M (2018) Anytime safety verification of autonomous vehicles. In: IEEE conference on intelligent transportation systems, pp 1708–1714
Metadata
Title
Driver Assistance Systems and Safety—Assessment and Challenges
Authors
Jinwei Zhou
Pavlo Tkachenko
Daniel Adelberger
Luigi del Re
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-06780-8_13

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