From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots

Built on

U. Muller,
2005
Earlier work this paper cites.
S. M. LaValle,
2006
Earlier work this paper cites.
P. Abbeel,
2008
Earlier work this paper cites.
M. Quigley,
2009
Earlier work this paper cites.
P. Furgale and T. D. Barfoot, “Visual teach and repeat for long-range rover autonomy,”
2010
Earlier work this paper cites.
M. Kuderer,
2012
Earlier work this paper cites.
S. Ross,
2013
Earlier work this paper cites.

K. Fragkiadaki,
Original
2015
Cited alongside, same era.
A. Punjani and P. Abbeel, “Deep learning helicopter dynamics models,” in
2015
Cited alongside, same era.
C. Chen,
2015
Cited alongside, same era.
V. Mnih,
2015
Cited alongside, same era.
D. K. Kim and T. Chen, “Deep neural network for real-time autonomous indoor navigation,”
Original
2015
Cited alongside, same era.
J. Sergeant,
2015
Cited alongside, same era.
M. Abadi,
2015
Cited alongside, same era.

J. Ba and D. Kingma, “Adam: A method for stochastic optimization,” in
2015
Later among the works it cites.
C. Cadena,
2016
Closest in time.
P. Ondruska and I. Posner, “Deep tracking: Seeing beyond seeing using recurrent neural networks,” in
2016
Closest in time.
M. Pfeiffer,
2016
Closest in time.
H. Kretzschmar,
2016
Closest in time.
S. Levine,
2016
Closest in time.