Abstract
The design of automated driving systems aims at reducing the human error and increasing the fuel efficiency by letting the vehicles map their surroundings and drive autonomously. One of the system challenges on the road is that at any time the environment can stop meeting the system’s operational conditions (and then resume meeting the requirements at some later point in time). Thus, as vehicles map their surroundings, they should also provide information that can help the vehicles to know whether the operational conditions are met with respect to the confidence that they have about the mapped information.
We design and implement key services of Local Dynamic Maps (LDMs) that are based on on-board and remote sensory information. The LDM provides the position of all nearby noticeable objects along with the LDM’s confidence about these positions. The design also includes an extension that allows the vehicular system to agree on the lowest common ability to meet the operational conditions.
We evaluate the performance of a key component in our pilot implementation together with a set of test cases that validate the proposed design. Our current findings show that the presented ideas can accelerate the deployment of automated driving systems.
The work of this author was partially supported by the EC, through project FP7-STREP-288195, KARYON (Kernel-based ARchitecture for safetY-critical cONtrol).
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References
Casimiro, A., Oscar Morales-Ponce, T.P., Schiller, E.M.: Vehicular coordination via a safety kernel in the gulliver test-bed. In: The Thirteenth International Workshop on Assurance in Distributed Systems and Networks (ADSN 2014). IEEE (2014)
Berger, C.: From a Competition for Self-Driving Miniature Cars to a Standardized Experimental Platform: Concept, Models, Architecture, and Evaluation. Journal of Software Engineering for Robotics 5(1), 63–79 (2014)
Berger, C., Al Mamun, M.A., Hansson, J.: COTS-Architecture with a Real-Time OS for a Self-Driving Miniature Vehicle. In: Schiller, E.M., Lönn, H. (eds.) Proceedings of the 2nd Workshop on Architecting Safety in Collaborative Mobile Systems (ASCoMS), Toulouse, France, pp. 1–12 (September 2013), http://hal.archives-ouvertes.fr/docs/00/84/81/01/PDF/00010133.pdf
Berger, C., et al.: Bridging physical and digital traffic system simulations with the gulliver test-bed. In: Berbineau, M., Jonsson, M., Bonnin, J.-M., Cherkaoui, S., Aguado, M., Rico-Garcia, C., Ghannoum, H., Mehmood, R., Vinel, A. (eds.) Nets4Trains/Nets4Cars 2013. LNCS, vol. 7865, pp. 169–184. Springer, Heidelberg (2013)
Berger, C., Rumpe, B.: Autonomous Driving - 5 Years after the Urban Challenge: The Anticipatory Vehicle as a Cyber-Physical System. In: Goltz, U., Magnor, M., Appelrath, H.J., Matthies, H.K., Balke, W.T., Wolf, L. (eds.) Proceedings of the INFORMATIK 2012, pp. 789–798. Braunschweig, Germany (2012)
Brade, T., Zug, S., Kaiser, J.: Validity-based failure algebra for distributed sensor systems. In: SRDS, pp. 143–152. IEEE (2013)
Bradski, G.R., Pisarevsky, V.: Intel’s computer vision library: Applications in calibration, stereo, segmentation, tracking, gesture, face and object recognition. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, p. 2796 (2000)
Casimiro, A., Rufino, J., Pinto, R.C., Vial, E., Schiller, E.M., Morales-Ponce, O., Petig, T.: A kernel-based architecture for safe cooperative vehicular functions. In: 9th IEEE International Symposium on Industrial Embedded Systems, SIES 2014 (2014)
Hirsch, J.: Self-driving cars inch closer to mainstream availability (October 2013), http://www.latimes.com/business/autos/la-fi-adv-hy-self-driving-cars-20131013,0,5094627.story
Leone, P., Papatriantafilou, M., Schiller, E.M.: Relocation analysis of stabilizing MAC algorithms for large-scale mobile ad hoc networks. In: Dolev, S. (ed.) ALGOSENSORS 2009. LNCS, vol. 5804, pp. 203–217. Springer, Heidelberg (2009)
Leone, P., Papatriantafilou, M., Schiller, E.M., Zhu, G.: chameleon-MAC: Adaptive and self-⋆ algorithms for media access control in mobile ad hoc networks. In: Dolev, S., Cobb, J., Fischer, M., Yung, M. (eds.) SSS 2010. LNCS, vol. 6366, pp. 468–488. Springer, Heidelberg (2010)
Leone, P., Schiller, E.M.: Self-stabilizing TDMA algorithms for dynamic wireless ad-hoc networks. Int. J. Distributed Sensor Networks, 639761 (2013)
Mustafa, M., Papatriantafilou, M., Schiller, E.M., Tohidi, A., Tsigas, P.: Autonomous TDMA alignment for VANETs. In: 76th IEEE Vehicular Technology Conf. (VTC-Fall 2012), pp. 1–5. IEEE (2012)
Olson, E.: AprilTag: A robust and flexible visual fiducial system. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 3400–3407. IEEE (May 2011)
Pahlavan, M., Papatriantafilou, M., Schiller, E.M.: Gulliver: a test-bed for developing, demonstrating and prototyping vehicular systems. In: Proceedings of the 9th ACM International Symposium on Mobility Management and Wireless Access, pp. 1–8. ACM (2011)
Petig, T., Schiller, E.M., Tsigas, P.: Self-stabilizing tdma algorithms for wireless ad-hoc networks without external reference. CoRR abs/1308.6475 (2013)
Petig, T., Schiller, E.M., Tsigas, P.: Self-stabilizing TDMA algorithms for wireless ad-hoc networks without external reference. In: Higashino, T., Katayama, Y., Masuzawa, T., Potop-Butucaru, M., Yamashita, M. (eds.) SSS 2013. LNCS, vol. 8255, pp. 354–356. Springer, Heidelberg (2013)
Thrun, S., Burgard, W., Fox, D.: Probabilistic Robotics (Intelligent Robotics and Autonomous Agents). The MIT Press (2005)
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Berger, C., Morales, O., Petig, T., Schiller, E.M. (2014). Driving with Confidence: Local Dynamic Maps That Provide LoS for the Gulliver Test-Bed. In: Bondavalli, A., Ceccarelli, A., Ortmeier, F. (eds) Computer Safety, Reliability, and Security. SAFECOMP 2014. Lecture Notes in Computer Science, vol 8696. Springer, Cham. https://doi.org/10.1007/978-3-319-10557-4_6
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DOI: https://doi.org/10.1007/978-3-319-10557-4_6
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