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Autonomous vehicles are more likely to be accepted if they drive accurately, comfortably, but also similar to how human drivers would.
The viterbi algorithm
G. D. Forney · 1973
Earlier work this paper cites.
Models of human comfort in vehicle environments
I. D. Jacobson, L. G. Richards, and A. R. Kuhlthau · 1980
Earlier work this paper cites.
Motion sickness in public road transport: the effect of driver, route and vehicle
G. M. Turner M1 · 1999
Earlier work this paper cites.
A framework for modeling human-like driving behaviors for autonomous vehicles in driving simulators
T. Al-Shihabi and R. R. Mourant · 2001
Earlier work this paper cites.
Toward more realistic driving behavior models for autonomous vehicles in driving simulators
T. Al-Shihabi and R. R. Mourant · 2003
Earlier work this paper cites.
Off-road obstacle avoidance through end-to-end learning
Y. LeCun, U. Muller, J. Ben, E. Cosatto, and B. Flepp · 2005
Earlier work this paper cites.
Autonomous driving in urban environments: Boss and the urban challenge
C. Urmson, J. Anhalt, H. Bae, J. A. D. Bagnell, C. R. Baker, R. E. Bittner, T. Brown, M. N. Clark, M. Darms, D. Demitrish, J. M. Dolan, D. Duggins, D. Ferguson, T. Galatali, C. M. Geyer, M. Gittleman, S. Harbaugh, M. Hebert, T. Howard, S. Kolski, M. Likhachev, B. Litkouhi, A. Kelly, M. McNaughton, N. Miller, J. Nickolaou, K. Peterson, B. Pilnick, R. Rajkumar, P. Rybski, V. Sadekar, B. Salesky, Y.-W. Seo, S. Singh, J. M. Snider, J. C. Struble, A. T. Stentz, M. Taylor, W. R. L. Whittaker, Z. Wolkowicki, W. Zhang, and J. Ziglar · 2008
Earlier work this paper cites.
High-precision lane-level road map building for vehicle navigation
A. Chen, A. Ramanandan, and J. A. Farrell · 2010
Earlier work this paper cites.
Bézier curve based path planning for autonomous vehicle in urban environment
L. Han, H. Yashiro, H. T. N. Nejad, Q. H. Do, and S. Mita · 2010
Earlier work this paper cites.
International large-scale vehicle corpora for research on driver behavior on the road
K. Takeda, J. H. L. Hansen, P. Boyraz, L. Malta, C. Miyajima, and H. Abut · 2011
Earlier work this paper cites.
Driving with knowledge from the physical world
J. Yuan, Y. Zheng, X. Xie, and G. Sun · 2011
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Driving behavior analysis with smartphones: Insights from a controlled field study
J. Paefgen, F. Kehr, Y. Zhai, and F. Michahelles · 2012
Earlier work this paper cites.
Generation of high precision digital maps using circular arc splines
A. Schindler, G. Maier, and F. Janda · 2012
Earlier work this paper cites.
Design of a control system for an autonomous vehicle based on adaptive-pid
P. Zhao, J. Chen, Y. Song, X. Tao, T. Xu, and T. Mei · 2012
Earlier work this paper cites.
Join driving: A smart phone-based driving behavior evaluation system
H. Zhao, H. Zhou, C. Chen, and J. Chen · 2013
Earlier work this paper cites.
Gpsview: A scenic driving route planner
Y.-T. Zheng, S. Yan, Z.-J. Zha, Y. Li, X. Zhou, T.-S. Chua, and R. Jain · 2013
Earlier work this paper cites.
Combined longitudinal and lateral control for automated vehicle guidance
R. Attia, R. Orjuela, and M. Basset · 2014
Cited alongside, same era.
Embedded system to evaluate the passenger comfort in public transportation based on dynamical vehicle behavior with user’s feedback
J. C. Castellanos and F. Fruett · 2014
Cited alongside, same era.
Deepdriving: Learning affordance for direct perception in autonomous driving
C. Chen, A. Seff, A. Kornhauser, and J. Xiao · 2015
Cited alongside, same era.
Tripplanner: Personalized trip planning leveraging heterogeneous crowdsourced digital footprints
C. Chen, D. Zhang, B. Guo, X. Ma, G. Pan, and Z. Wu · 2015
Cited alongside, same era.
In the passenger seat: Investigating ride comfort measures in autonomous cars
M. Elbanhawi, M. Simic, and R. Jazar · 2015
Cited alongside, same era.
Deep reinforcement learning framework for autonomous driving
A. E. Sallab, M. Abdou, E. Perot, and S. Yogamani · 2017
Later among the works it cites.
Airsim: High-fidelity visual and physical simulation for autonomous vehicles
S. Shah, D. Dey, C. Lovett, and A. Kapoor · 2017
Later among the works it cites.
End-to-end learning of driving models from large-scale video datasets
H. Xu, Y. Gao, F. Yu, and T. Darrell · 2017
Later among the works it cites.
Object referring in videos with language and human gaze
A. Balajee Vasudevan, D. Dai, and L. Van Gool · 2018
Later among the works it cites.
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
M. Bansal, A. Krizhevsky, and A. Ogale · 2018
Later among the works it cites.
Lidar-video driving dataset: Learning driving policies effectively
Y. Chen, J. Wang, J. Li, C. Lu, Z. Luo, H. Xue, and C. Wang · 2018
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M. Kuderer, S. Gulati, and W. Burgard · 2015
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A review of intelligent driving style analysis systems and related artificial intelligence algorithms
G. A. M. Meiring and H. C. Myburgh · 2015
Cited alongside, same era.
Formalising traffic rules for accountability of autonomous vehicles
A. Rizaldi and M. Althoff · 2015
Cited alongside, same era.
Toward personalized, context-aware routing
B. Yang, C. Guo, Y. Ma, and C. S. Jensen · 2015
Cited alongside, same era.
Route planning in transportation networks
H. Bast, D. Delling, A. V. Goldberg, M. Müller-Hannemann, T. Pajor, P. Sanders, D. Wagner, and R. F. Werneck · 2016
Cited alongside, same era.
End to end learning for self-driving cars
M. Bojarski, D. Del Testa, D. Dworakowski, B. Firner, B. Flepp, P. Goyal, L. D. Jackel, M. Monfort, U. Muller, J. Zhang, et al · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
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On offline evaluation of vision-based driving models
F. Codevilla, A. M. Lopez, V. Koltun, and A. Dosovitskiy · 2018
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End-to-end driving via conditional imitation learning
F. Codevilla, M. Müller, A. López, V. Koltun, and A. Dosovitskiy · 2018
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End-to-end learning of driving models with surround-view cameras and route planners
S. Hecker, D. Dai, and L. Van Gool · 2018
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Failure prediction for autonomous driving
S. Hecker, D. Dai, and L. Van Gool · 2018
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Learning to steer by mimicking features from heterogeneous auxiliary networks
Y. Hou, Z. Ma, C. Liu, and C. C. Loy · 2018
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Event-based vision meets deep learning on steering prediction for self-driving cars
A. I. Maqueda, A. Loquercio, G. Gallego, N. García, and D. Scaramuzza · 2018
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Driving policy transfer via modularity and abstraction
M. Müller, A. Dosovitskiy, B. Ghanem, and V. Koltun · 2018
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Conditional affordance learning for driving in urban environments
A. Sauer, N. Savinov, and A. Geiger · 2018
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Learning to drive from simulation without real world labels
A. Bewley, J. Rigley, Y. Liu, J. Hawke, R. Shen, V.-D. Lam, and A. Kendall · 2019
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Learning to drive in a day
A. Kendall, J. Hawke, D. Janz, P. Mazur, D. Reda, J.-M. Allen, V.-D. Lam, A. Bewley, and A. Shah · 2019
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