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Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional
  Neural Network

Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional Neural Network

30 June 2016
Diederik Paul Moeys
Federico Corradi
E. Kerr
P. Vance
Gautham P. Das
Daniel Neil
D. Kerr
T. Delbruck
ArXivPDFHTML

Papers citing "Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional Neural Network"

14 / 14 papers shown
Title
Automotive Object Detection via Learning Sparse Events by Spiking
  Neurons
Automotive Object Detection via Learning Sparse Events by Spiking Neurons
Hu Zhang
Yanchen Li
Luziwei Leng
Kaiwei Che
Qian Liu
Qinghai Guo
Jianxing Liao
Ran Cheng
37
6
0
24 Jul 2023
Emergent Visual Sensors for Autonomous Vehicles
Emergent Visual Sensors for Autonomous Vehicles
You Li
Julien Moreau
J. Ibañez-Guzmán
42
28
0
19 May 2022
EVIMO2: An Event Camera Dataset for Motion Segmentation, Optical Flow,
  Structure from Motion, and Visual Inertial Odometry in Indoor Scenes with
  Monocular or Stereo Algorithms
EVIMO2: An Event Camera Dataset for Motion Segmentation, Optical Flow, Structure from Motion, and Visual Inertial Odometry in Indoor Scenes with Monocular or Stereo Algorithms
Levi Burner
A. Mitrokhin
Cornelia Fermuller
Yiannis Aloimonos
VGen
MDE
27
33
0
06 May 2022
EvDistill: Asynchronous Events to End-task Learning via Bidirectional
  Reconstruction-guided Cross-modal Knowledge Distillation
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation
Lin Wang
Yujeong Chae
Sung-Hoon Yoon
Tae-Kyun Kim
Kuk-Jin Yoon
42
64
0
24 Nov 2021
Dual Transfer Learning for Event-based End-task Prediction via Pluggable
  Event to Image Translation
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation
Lin Wang
Yujeong Chae
Kuk-Jin Yoon
29
32
0
04 Sep 2021
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events
  with Deep Learning for Improved Steering Prediction
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction
Yuhuang Hu
Jonathan Binas
Daniel Neil
Shih-Chii Liu
T. Delbruck
3DV
16
79
0
18 May 2020
Spiking Neural Networks Hardware Implementations and Challenges: a
  Survey
Spiking Neural Networks Hardware Implementations and Challenges: a Survey
Maxence Bouvier
A. Valentian
T. Mesquida
F. Rummens
M. Reyboz
Elisa Vianello
E. Beigné
56
113
0
04 May 2020
HyNNA: Improved Performance for Neuromorphic Vision Sensor based
  Surveillance using Hybrid Neural Network Architecture
HyNNA: Improved Performance for Neuromorphic Vision Sensor based Surveillance using Hybrid Neural Network Architecture
Deepak Singla
Soham Chatterjee
Lavanya Ramapantulu
Andrés Ussa
Bharath Ramesh
A. Basu
10
11
0
19 Mar 2020
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed
  Object Tracking
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking
Zheyu Yang
Yujie Wu
Guanrui Wang
Yukuan Yang
Guoqi Li
Lei Deng
Jun Zhu
Luping Shi
31
42
0
15 Sep 2019
Unsupervised Event-based Learning of Optical Flow, Depth, and Egomotion
Unsupervised Event-based Learning of Optical Flow, Depth, and Egomotion
A. Z. Zhu
Liangzhe Yuan
Kenneth Chaney
Kostas Daniilidis
MDE
31
523
0
19 Dec 2018
ABMOF: A Novel Optical Flow Algorithm for Dynamic Vision Sensors
ABMOF: A Novel Optical Flow Algorithm for Dynamic Vision Sensors
Min Liu
T. Delbruck
24
12
0
10 May 2018
DDD17: End-To-End DAVIS Driving Dataset
DDD17: End-To-End DAVIS Driving Dataset
Jonathan Binas
Daniel Neil
Shih-Chii Liu
T. Delbruck
18
186
0
04 Nov 2017
Pseudo-labels for Supervised Learning on Dynamic Vision Sensor Data,
  Applied to Object Detection under Ego-motion
Pseudo-labels for Supervised Learning on Dynamic Vision Sensor Data, Applied to Object Detection under Ego-motion
Nicholas F. Y. Chen
12
5
0
27 Sep 2017
NullHop: A Flexible Convolutional Neural Network Accelerator Based on
  Sparse Representations of Feature Maps
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
Alessandro Aimar
Hesham Mostafa
Enrico Calabrese
A. Rios-Navarro
Ricardo Tapiador-Morales
...
Moritz B. Milde
Federico Corradi
A. Linares-Barranco
Shih-Chii Liu
T. Delbruck
82
242
0
05 Jun 2017
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