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Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic
  Motion Planning
v1v2 (latest)

Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic Motion Planning

3 December 2018
Holger Banzhaf
Paul Sanzenbacher
Ulrich Baumann
Johann Marius Zöllner
ArXiv (abs)PDFHTML

Papers citing "Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic Motion Planning"

14 / 14 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
301
30,157
0
01 Mar 2022
Robot Motion Planning in Learned Latent Spaces
Robot Motion Planning in Learned Latent Spaces
Brian Ichter
Marco Pavone
83
152
0
26 Jul 2018
Motion Planning Networks
Motion Planning Networks
A. H. Qureshi
Anthony Simeonov
M. J. Bency
Michael C. Yip
3DPC
63
239
0
14 Jun 2018
Universal Planning Networks
Universal Planning Networks
A. Srinivas
Allan Jabri
Pieter Abbeel
Sergey Levine
Chelsea Finn
SSL
77
145
0
02 Apr 2018
Learning Human-Aware Path Planning with Fully Convolutional Networks
Learning Human-Aware Path Planning with Fully Convolutional Networks
Noé Pérez-Higueras
F. Caballero
L. Merino
55
45
0
01 Mar 2018
Data-driven Planning via Imitation Learning
Data-driven Planning via Imitation Learning
Sanjiban Choudhury
M. Bhardwaj
S. Arora
Ashish Kapoor
G. Ranade
Sebastian Scherer
Debadeepta Dey
98
81
0
17 Nov 2017
Learning Sampling Distributions for Robot Motion Planning
Learning Sampling Distributions for Robot Motion Planning
Brian Ichter
James Harrison
Marco Pavone
68
354
0
16 Sep 2017
LIDAR-based Driving Path Generation Using Fully Convolutional Neural
  Networks
LIDAR-based Driving Path Generation Using Fully Convolutional Neural Networks
Luca Caltagirone
M. Bellone
Lennart Svensson
M. Wahde
3DPC
117
61
0
27 Mar 2017
Learning from the Hindsight Plan -- Episodic MPC Improvement
Learning from the Hindsight Plan -- Episodic MPC Improvement
Aviv Tamar
G. Thomas
Tianhao Zhang
Sergey Levine
Pieter Abbeel
143
66
0
28 Sep 2016
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
102
4,179
0
25 Apr 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.1K
15,846
0
02 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
471
43,357
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
Incremental Sampling-based Algorithms for Optimal Motion Planning
Incremental Sampling-based Algorithms for Optimal Motion Planning
S. Karaman
Emilio Frazzoli
163
807
0
03 May 2010
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