There and Back Again: Learning to Simulate Radar Data for Real-World Applications

29 November 2020

Papers citing "There and Back Again: Learning to Simulate Radar Data for Real-World Applications"

29 / 29 papers shown

Title
RadaRays: Real-time Simulation of Rotating FMCW Radar for Mobile Robotics via Hardware-accelerated Ray Tracing Alexander Mock Martin Magnusson Joachim Hertzberg 81 1 0 05 Oct 2023
Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights Daniil Lisus Johann Laconte Keenan Burnett Ziyu Zhang Timothy D. Barfoot 77 6 0 15 Sep 2023
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 134 30,021 0 01 Mar 2022
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World S. Manivasagam Shenlong Wang K. Wong Wenyuan Zeng Mikita Sazanovich Shuhan Tan Binh Yang Wei-Chiu Ma R. Urtasun 3DPC 40 222 0 16 Jun 2020
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving Zhenpei Yang Yuning Chai Dragomir Anguelov Yin Zhou Pei Sun D. Erhan Sean M. Rafferty Henrik Kretzschmar 47 101 0 08 May 2020
Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning cStefan Suaftescu Matthew Gadd D. Martini Dan Barnes Paul Newman 23 70 0 26 Jan 2020
RSL-Net: Localising in Satellite Images From a Radar on the Ground T. Y. Tang Daniele De Martini Dan Barnes Paul Newman 56 64 0 09 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 231 42,038 0 03 Dec 2019
Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information Dan Barnes Rob Weston Ingmar Posner 22 84 0 09 Sep 2019
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset Dan Barnes Matthew Gadd P. Murcutt Paul Newman Ingmar Posner 43 375 0 03 Sep 2019
Probably Unknown: Deep Inverse Sensor Modelling In Radar Rob Weston Sarah H. Cen Paul Newman Ingmar Posner 51 76 0 18 Oct 2018
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data Amjad Almahairi Sai Rajeswar Alessandro Sordoni Philip Bachman Aaron Courville GAN 39 420 0 27 Feb 2018
Toward Multimodal Image-to-Image Translation Jun-Yan Zhu Richard Y. Zhang Deepak Pathak Trevor Darrell Alexei A. Efros Oliver Wang Eli Shechtman 111 1,347 0 30 Nov 2017
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 122 5,111 0 10 Nov 2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume Deqing Sun Xiaodong Yang Ming-Yuan Liu Jan Kautz 3DPC 226 2,435 0 07 Sep 2017
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles S. Shah Debadeepta Dey Chris Lovett Ashish Kapoor 66 1,976 0 15 May 2017
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation Zili Yi Hao Zhang P. Tan Minglun Gong GAN VLM 100 1,941 0 08 Apr 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks Taeksoo Kim Moonsu Cha Hyunsoo Kim Jung Kwon Lee Jiwon Kim GAN OOD 75 1,979 0 15 Mar 2017
Deep Stochastic Radar Models T. Wheeler M. Holder H. Winner Mykel Kochenderfer 38 62 0 31 Jan 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 280 19,560 0 21 Nov 2016
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 251 4,554 0 13 Nov 2016
Learning in Implicit Generative Models S. Mohamed Balaji Lakshminarayanan GAN 111 415 0 11 Oct 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 229 10,646 0 15 Sep 2016
Playing for Data: Ground Truth from Computer Games Stephan R. Richter Vibhav Vineet Stefan Roth V. Koltun VLM 103 1,998 0 07 Aug 2016
Virtual Worlds as Proxy for Multi-Object Tracking Analysis Adrien Gaidon Qiao Wang Yohann Cabon E. Vig 54 1,069 0 20 May 2016
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation N. Mayer Eddy Ilg Philip Häusser Philipp Fischer Daniel Cremers Alexey Dosovitskiy Thomas Brox 3DPC 47 2,625 0 07 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.1K 76,547 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 290 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 776 149,474 0 22 Dec 2014