References
- Abboud, K., Omar, H. A., & Zhuang, W. (2016). Interworking of DSRC and cellular network technologies for V2X communications: A survey. IEEE Transactions on Vehicular Technology, 65(12), 9457–9470. doi:https://doi.org/10.1109/TVT.2016.2591558
- Alcacer, J., & Gittelman, M. (2006). Patent citations as a measure of knowledge flows: The influence of examiner citations. Review of Economics and Statistics, 88(4), 774–779. doi:https://doi.org/10.1162/rest.88.4.774
- Alessandrini, A., Campagna, A., Delle Site, P., Filippi, F., & Persia, L. (2015). Automated vehicles and the rethinking of mobility and cities. Transportation Research Procedia, 5, 145–160. doi:https://doi.org/10.1016/j.trpro.2015.01.002
- Almeida, P. (1996). Knowledge sourcing by foreign multinationals: Patent citation analysis in the US semiconductor industry. Strategic Management Journal, 17(S2), 155–165. doi:https://doi.org/10.1002/smj.4250171113
- Bansal, P., & Kockelman, K. M. (2018). Are we ready to embrace connected and self-driving vehicles? A case study of Texans. Transportation, 45(2), 641–675. doi:https://doi.org/10.1007/s11116-016-9745-z
- Barberá-Tomás, D., Jiménez-Sáez, F., & Castelló-Molina, I. (2011). Mapping the importance of the real world: The validity of connectivity analysis of patent citations networks. Research Policy, 40(3), 473–486. doi:https://doi.org/10.1016/j.respol.2010.11.002
- Batagelj, V. (2003, June 3). Efficient algorithms for citation network analysis. Retrieved from http://arxiv.org/abs/cs.DL/0309023
- Batagelj, V., & Mrvar, A. (1998). Pajek-program for large network analysis. Connections, 21(2), 47–57.
- Bhupatiraju, S., Nomaler, O., Triulzi, G., & Verspagen, B. (2012). Knowledge flows – analyzing the core literature of innovation, entrepreneurship and science and technology studies. Research Policy, 41(7), 1205–1218. doi:https://doi.org/10.1016/j.respol.2012.03.011
- Bonin-Font, F., Ortiz, A., & Oliver, G. (2008). Visual navigation for mobile robots: A survey. Journal of Intelligent and Robotic Systems, 53(3), 263–296. doi:https://doi.org/10.1007/s10846-008-9235-4
- Breschi, S., & Lissoni, F. (2004). Knowledge networks from patent data. In H. F. Moed, W. Glänzel, & U. Schmoch (Eds.), Handbook of quantitative science and technology research (pp. 613–643). Dordrecht: Springer. doi:10.1007/1-4020-2755-9_29
- Bruck, P., Rethy, I., Szente, J., Tobochnik, J., & Erdi, P. (2016). Recognition of emerging technology trends: Class-selective study of citations in the U.S. Patent citation network. Scientometrics, 107(3), 1465–1475. doi:https://doi.org/10.1007/s11192-016-1899-0
- Buehler, M., Iagnemma, K., & Singh, S. (2009). The DARPA urban challenge: Autonomous vehicles in city traffic (Vol. 56). Heidelberg: Springer.
- Calero-Medina, C., & Noyons, E. C. M. (2008). Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field. Journal of Informetrics, 2(4), 272–279. doi:https://doi.org/10.1016/j.joi.2008.09.005
- Chen, S., Hu, J., Shi, Y., Peng, Y., Fang, J., Zhao, R., & Zhao, L. (2017). Vehicle-to-everything (v2x) services supported by LTE-based systems and 5G. IEEE Communications Standards Magazine, 1(2), 70–76. doi:https://doi.org/10.1109/MCOMSTD.2017.1700015
- Erdi, P., Makovi, K., Somogyvari, Z., Strandburg, K., Tobochnik, J., Volf, P., & Zalanyi, L. (2013). Prediction of emerging technologies based on analysis of the US patent citation network. Scientometrics, 95(1), 225–242. doi:https://doi.org/10.1007/s11192-012-0796-4
- Fagnant, D. J., & Kockelman, K. (2015). Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice, 77, 167–181. doi:https://doi.org/10.1016/j.tra.2015.04.003
- Filippi, A., Moerman, K., Daalderop, G., Alexander, P. D., Schober, F., & Pfliegl, W. (2016). Ready to roll: Why 802.11 p beats LTE and 5G for V2x. Whitepaper by NXP Semiconductors. Retrieved from https://assets.new.siemens.com/siemens/assets/api/uuid:ab5935c545ee430a94910921b8ec75f3c17bab6c/its-g5-ready-to-roll-en.pdf
- Frazzoli, E., Dahleh, M. A., & Feron, E. (2002). Real-time motion planning for agile autonomous vehicles. Journal of Guidance, Control, and Dynamics, 25(1), 116–129. doi:https://doi.org/10.2514/2.4856
- Freemark, Y., Hudson, A., & Zhao, J. (2019). Are cities prepared for autonomous vehicles? Journal of the American Planning Association, 85(2), 133–151. doi:https://doi.org/10.1080/01944363.2019.1603760
- Gandia, R. M., Antonialli, F., Cavazza, B. H., Neto, A. M., Lima, D. A. D., Sugano, J. Y., Nicolai, I., & Zambalde, A. L. (2019). Autonomous vehicles: Scientometric and bibliometric review. Transport Reviews, 39(1), 9–28. doi:https://doi.org/10.1080/01441647.2018.1518937
- Garfield, E., Sher, I. H., & Torpie, R. J. (1964). The use of citation data in writing the history of science. Philadelphia, PA: Institute for Scientific Information.
- Goerzen, C., Kong, Z., & Mettler, B. (2010). A survey of motion planning algorithms from the perspective of autonomous UAV guidance. Journal of Intelligent and Robotic Systems, 57(1-4), 65–100. doi:https://doi.org/10.1007/s10846-009-9383-1
- Hall, B. H., Jaffe, A. B., & Trajtenberg, M. (2000). Market value and patent citations: A first look. NBER Working Paper, Article No. 7741. doi:10.3386/w7741
- Hall, D. L., & Llinas, J. (1997). An introduction to multisensor data fusion. Proceedings of the IEEE, 85(1), 6–23. doi:https://doi.org/10.1109/5.554205
- Harhoff, D., Narin, F., Scherer, F. M., & Vopel, K. (1999). Citation frequency and the value of patented inventions. Review of Economics and Statistics, 81(3), 511–515. doi:https://doi.org/10.1162/003465399558265
- Harhoff, D., Scherer, F. M., & Vopel, K. (2003). Citations, family size, opposition and the value of patent rights. Research Policy, 32(8), 1343–1363. Article Pii s0048-7333(02)00124-5. doi:https://doi.org/10.1016/S0048-7333(02)00124-5
- Harris, J. K., Luke, D. A., Zuckerman, R. B., & Shelton, S. C. (2009). Forty years of secondhand smoke research: The gap between discovery and delivery. American Journal of Preventive Medicine, 36(6), 538–548. doi:https://doi.org/10.1016/j.amepre.2009.01.039
- Hawkins, J., & Nurul Habib, K. (2019). Integrated models of land use and transportation for the autonomous vehicle revolution. Transport Reviews, 39(1), 66–83. doi:https://doi.org/10.1080/01441647.2018.1449033
- Howard, D., & Dai, D. (2013). Public perceptions of self-driving cars: The case of Berkeley, California. The 93rd Annual Meeting of Transportation Research Board.
- Hu, A. G., & Jaffe, A. B. (2003). Patent citations and international knowledge flow: The cases of Korea and Taiwan. International Journal of Industrial Organization, 21(6), 849–880. doi:https://doi.org/10.1016/S0167-7187(03)00035-3
- Hummon, N. P., & Dereian, P. (1989). Connectivity in a citation network: The development of DNA theory. Social Networks, 11(1), 39–63. doi:https://doi.org/10.1016/0378-8733(89)90017-8
- Jaffe, A. B., & De Rassenfosse, G. (2019). Patent citation data in social science research: Overview and best practices (Research handbook on the economics of intellectual property law). Northampton, MA: Edward Elgar Publishing.
- Jaffe, A. B., Trajtenberg, M., & Fogarty, M. S. (2000). Knowledge spillovers and patent citations: Evidence from a survey of inventors. American Economic Review, 90(2), 215–218. doi:https://doi.org/10.1257/aer.90.2.215
- Jun, S., Park, S., & Jang, D.-S. (2012). Technology forecasting using matrix map and patent clustering. Industrial Management & Data Systems, 112, 786–807. doi:10.1108/02635571211232352
- Jung, H. G., Lee, Y. H., Kang, H. J., & Kim, J. (2009). Sensor fusion-based lane detection for LKS+ACC system. International Journal of Automotive Technology, 10(2), 219–228. doi:https://doi.org/10.1007/s12239-009-0026-0
- Kanade, T., Thorpe, C., & Whittaker, W. (1986). Autonomous land vehicle project at CMU. Proceedings of the 1986 ACM fourteenth annual conference on computer science, Cincinnati, Ohio, USA.
- Kellett, J., Barreto, R., Hengel, A. V. D., & Vogiatzis, N. (2019). How might autonomous vehicles impact the city? The Case of Commuting to Central Adelaide. Urban Policy and Research, 37(4), 442–457. doi:https://doi.org/10.1080/08111146.2019.1674646
- Kim, Y. G., Suh, J. H., & Park, S. C. (2008). Visualization of patent analysis for emerging technology. Expert Systems with Applications, 34(3), 1804–1812. doi:https://doi.org/10.1016/j.eswa.2007.01.033
- Lee, S., Yoon, B., & Park, Y. (2009). An approach to discovering new technology opportunities: Keyword-based patent map approach. Technovation, 29(6-7), 481–497. doi:https://doi.org/10.1016/j.technovation.2008.10.006
- Litman, T. (2019). Autonomous vehicle implementation predictions: Implications for transport planning. Victoria: Victoria Transport Policy Institute.
- Liu, J. S., Ho, M. H.-C., & Lu, L. Y. Y. (2017). Recent themes in social networking service research. PloS one, 12(1), e0170293.
- Liu, J. S., & Kuan, C. H. (2016). A new approach for main path analysis: Decay in knowledge diffusion. Journal of the Association for Information Science and Technology, 67(2), 465–476. doi:https://doi.org/10.1002/asi.23384
- Liu, J. S., & Lu, L. Y. Y. (2012). An integrated approach for main path analysis: Development of the Hirsch index as an example. Journal of the American Society for Information Science and Technology, 63(3), 528–542. doi:https://doi.org/10.1002/asi.21692
- Liu, J. S., Lu, L. Y. Y., & Ho, M. H.-C. (2019). A few notes on main path analysis. Scientometrics, 119, 379–391 doi:https://doi.org/10.1007/s11192-019-03034-x
- Liu, J. S., Lu, L. Y. Y., & Lu, W. M. (2016). Research fronts in data envelopment analysis. Omega-International Journal of Management Science, 58, 33–45. doi:https://doi.org/10.1016/j.omega.2015.04.004
- Martinez-Diaz, M., Soriguera, F., & Perez, I. (2019). Autonomous driving: A bird's eye view. Iet Intelligent Transport Systems, 13(4), 563–579. doi:https://doi.org/10.1049/iet-its.2018.5061
- Montanaro, U., Dixit, S., Fallah, S., Dianati, M., Stevens, A., Oxtoby, D., & Mouzakitis, A. (2019). Towards connected autonomous driving: Review of use-cases. Vehicle System Dynamics, 57(6), 779–814. doi:https://doi.org/10.1080/00423114.2018.1492142
- Moore, S., Haines, V., Hawe, P., & Shiell, A. (2006). Lost in translation: A genealogy of the "social capital" concept in public health. Journal of Epidemiology and Community Health, 60(8), 729–734. doi:https://doi.org/10.1136/jech.2005.041848
- Park, B., Lee, Y., & Han, W. Y. (2014, August 18–22). Trajectory generation method using Bézier spiral curves for high-speed on-road autonomous vehicles. 2014 IEEE International Conference on Automation Science and Engineering (CASE).
- Park, H., Suh, S., & Lee, J. (2011, July 31–August 4). Scientific and technological knowledge flow and technological innovation: Quantitative approach using patent citation. 2011 Proceedings of PICMET ‘11: Technology Management in the Energy Smart World (PICMET).
- Pilkington, A., Dyerson, R., & Tissier, O. (2002). The electric vehicle: Patent data as indicators of technological development. World Patent Information, 24(1), 5–12. doi:https://doi.org/10.1016/S0172-2190(01)00065-5
- Rosenzweig, J., & Bartl, M. (2015, October). A review and analysis of literature on autonomous driving. E-Journal Making-of Innovation.
- SAE. (2016). Taxonomy and definitions for terms related to on-road motor vehicle automated driving systems. Warrendale, PA: On-Road Automated Driving (ORAD) Committee.
- Seif, H. G., & Hu, X. (2016). Autonomous driving in the iCity –HD maps as a key challenge of the automotive industry. Engineering, 2(2), 159–162. doi:https://doi.org/10.1016/J.ENG.2016.02.010
- Sharma, P., Tripathi, R., & Tripathi, R. C. (2016, January 7–9). Patent citation network analysis for measuring the ICT patent progress in India. 2016 International Conference on Computer Communication and Informatics (ICCCI).
- Shiller, Z., & Gwo, Y. (1991). Dynamic motion planning of autonomous vehicles. IEEE Transactions on Robotics and Automation, 7(2), 241–249. doi:https://doi.org/10.1109/70.75906
- Shiue, Y.-C., & Chang, C.-C. (2010). Forecasting unmanned vehicle technologies: Use of patent map. 2010 s International Conference on Computer Research and Development.
- Soteropoulos, A., Berger, M., & Ciari, F. (2019). Impacts of automated vehicles on travel behaviour and land use: An international review of modelling studies. Transport Reviews, 39(1), 29–49. doi:https://doi.org/10.1080/01441647.2018.1523253
- Sukkarieh, S., Nebot, E. M., & Durrant-Whyte, H. F. (1999). A high integrity IMU/GPS navigation loop for autonomous land vehicle applications. IEEE Transactions on Robotics and Automation, 15(3), 572–578. doi:https://doi.org/10.1109/70.768189
- Taeihagh, A., & Lim, H. S. M. (2019). Governing autonomous vehicles: Emerging responses for safety, liability, privacy, cybersecurity, and industry risks. Transport Reviews, 39(1), 103–128. doi:https://doi.org/10.1080/01441647.2018.1494640
- Verspagen, B. (2007). Mapping technological trajectories as patent citation networks: A study on the history of fuel cell research. Advances in Complex Systems, 10(1), 93–115. doi:https://doi.org/10.1142/S0219525907000945
- Wallace, R. S., Stentz, A., Thorpe, C. E., Moravec, H. P., Whittaker, W., & Kanade, T. (1985). First results in robot road-following. IJCAI.
- Whaiduzzaman, M., Sookhak, M., Gani, A., & Buyya, R. (2014). A survey on vehicular cloud computing. Journal of Network and Computer Applications, 40, 325–344. doi:https://doi.org/10.1016/j.jnca.2013.08.004