ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2304.14271
  4. Cited By
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving
  Services

A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services

13 April 2023
Dewant Katare
Diego Perino
J. Nurmi
M. Warnier
Marijn Janssen
Aaron Yi Ding
ArXivPDFHTML

Papers citing "A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services"

43 / 143 papers shown
Title
PACT: Parameterized Clipping Activation for Quantized Neural Networks
PACT: Parameterized Clipping Activation for Quantized Neural Networks
Jungwook Choi
Zhuo Wang
Swagath Venkataramani
P. Chuang
Vijayalakshmi Srinivasan
K. Gopalakrishnan
MQ
62
953
0
16 May 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
120
21,447
0
08 Apr 2018
CodeSLAM - Learning a Compact, Optimisable Representation for Dense
  Visual SLAM
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM
Michael Bloesch
J. Czarnowski
R. Clark
Stefan Leutenegger
Andrew J. Davison
MDE
3DH
69
373
0
03 Apr 2018
The ApolloScape Open Dataset for Autonomous Driving and its Application
The ApolloScape Open Dataset for Autonomous Driving and its Application
Xinyu Huang
Peng Wang
Xinjing Cheng
Dingfu Zhou
Qichuan Geng
Ruigang Yang
3DPC
65
567
0
16 Mar 2018
Towards End-to-End Lane Detection: an Instance Segmentation Approach
Towards End-to-End Lane Detection: an Instance Segmentation Approach
D. Neven
Bert De Brabandere
Stamatios Georgoulis
Marc Proesmans
Luc Van Gool
97
666
0
15 Feb 2018
The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset
  for 3D Perception
The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception
A. Z. Zhu
Dinesh Thakur
Tolga Özaslan
Bernd Pfrommer
Vijay Kumar
Kostas Daniilidis
3DV
3DPC
57
469
0
30 Jan 2018
Deep Gradient Compression: Reducing the Communication Bandwidth for
  Distributed Training
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Chengyue Wu
Song Han
Huizi Mao
Yu Wang
W. Dally
133
1,407
0
05 Dec 2017
Frustum PointNets for 3D Object Detection from RGB-D Data
Frustum PointNets for 3D Object Detection from RGB-D Data
C. Qi
Wen Liu
Chenxia Wu
Hao Su
Leonidas Guibas
3DPC
147
2,265
0
22 Nov 2017
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou
Oncel Tuzel
3DPC
109
3,723
0
17 Nov 2017
NISP: Pruning Networks using Neuron Importance Score Propagation
NISP: Pruning Networks using Neuron Importance Score Propagation
Ruichi Yu
Ang Li
Chun-Fu Chen
Jui-Hsin Lai
Vlad I. Morariu
Xintong Han
M. Gao
Ching-Yung Lin
L. Davis
74
800
0
16 Nov 2017
Apprentice: Using Knowledge Distillation Techniques To Improve
  Low-Precision Network Accuracy
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit K. Mishra
Debbie Marr
FedML
65
331
0
15 Nov 2017
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
135
5,173
0
10 Nov 2017
DDD17: End-To-End DAVIS Driving Dataset
DDD17: End-To-End DAVIS Driving Dataset
Jonathan Binas
Daniel Neil
Shih-Chii Liu
T. Delbruck
61
187
0
04 Nov 2017
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time
  Road-Object Segmentation from 3D LiDAR Point Cloud
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud
Bichen Wu
Alvin Wan
Xiangyu Yue
Kurt Keutzer
3DPC
90
806
0
19 Oct 2017
VPGNet: Vanishing Point Guided Network for Lane and Road Marking
  Detection and Recognition
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition
Seokju Lee
Junsik Kim
Jae Shin Yoon
Seunghak Shin
Oleksandr Bailo
Namil Kim
Taeyeop Lee
Hyun Seok Hong
Seung-Hoon Han
In So Kweon
103
406
0
17 Oct 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network
  Compression
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Jian-Hao Luo
Jianxin Wu
Weiyao Lin
55
1,760
0
20 Jul 2017
Balanced Quantization: An Effective and Efficient Approach to Quantized
  Neural Networks
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks
Shuchang Zhou
Yuzhi Wang
He Wen
Qinyao He
Yuheng Zou
MQ
82
110
0
22 Jun 2017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep
  Learning
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
W. Wen
Cong Xu
Feng Yan
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
140
989
0
22 May 2017
Sparse Communication for Distributed Gradient Descent
Sparse Communication for Distributed Gradient Descent
Alham Fikri Aji
Kenneth Heafield
66
741
0
17 Apr 2017
Coordinating Filters for Faster Deep Neural Networks
Coordinating Filters for Faster Deep Neural Networks
W. Wen
Cong Xu
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
41
138
0
28 Mar 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
181
15,619
0
25 Dec 2016
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural
  Networks for Real-Time Object Detection for Autonomous Driving
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving
Bichen Wu
Alvin Wan
F. Iandola
Peter H. Jin
Kurt Keutzer
87
513
0
04 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
484
14,320
0
02 Dec 2016
TorontoCity: Seeing the World with a Million Eyes
TorontoCity: Seeing the World with a Million Eyes
Shenlong Wang
Min Bai
Gellért Máttyus
Hang Chu
Wenjie Luo
Binh Yang
Justin Liang
Joel Cheverie
Sanja Fidler
R. Urtasun
3DV
ViT
61
178
0
01 Dec 2016
Combining Deep Reinforcement Learning and Safety Based Control for
  Autonomous Driving
Combining Deep Reinforcement Learning and Safety Based Control for Autonomous Driving
Xincheng Xiong
Jianqiang Wang
Fang Zhang
Keqiang Li
74
66
0
01 Dec 2016
Multi-View 3D Object Detection Network for Autonomous Driving
Multi-View 3D Object Detection Network for Autonomous Driving
Xiaozhi Chen
Huimin Ma
Ji Wan
Bo Li
Tian Xia
3DPC
190
2,775
0
23 Nov 2016
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D
  Cameras
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
Raul Mur-Artal
Juan D. Tardós
345
5,445
0
20 Oct 2016
Federated Learning: Strategies for Improving Communication Efficiency
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
306
4,646
0
18 Oct 2016
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient
  Convolutional Neural Networks
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke
Dushyant Rao
Dominic Zeng Wang
Chi Hay Tong
Ingmar Posner
3DPC
253
522
0
21 Sep 2016
Joint Attention in Autonomous Driving (JAAD)
Joint Attention in Autonomous Driving (JAAD)
Iuliia Kotseruba
Amir Rasouli
John K. Tsotsos
50
104
0
15 Sep 2016
Direct Feedback Alignment Provides Learning in Deep Neural Networks
Direct Feedback Alignment Provides Learning in Deep Neural Networks
Arild Nøkland
ODL
85
457
0
06 Sep 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
193
3,697
0
31 Aug 2016
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
178
2,339
0
12 Aug 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
100
4,170
0
25 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,623
0
06 Apr 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
150
7,486
0
24 Feb 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
406
17,486
0
17 Feb 2016
Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep
  Learning Architecture
Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture
Ashesh Jain
H. Koppula
Shane Soh
Bharad Raghavan
Avi Singh
Ashutosh Saxena
79
127
0
05 Jan 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
257
8,842
0
01 Oct 2015
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
Raul Mur-Artal
José M.M. Montiel
Juan D. Tardós
116
6,399
0
03 Feb 2015
Difference Target Propagation
Difference Target Propagation
Dong-Hyun Lee
Saizheng Zhang
Asja Fischer
Yoshua Bengio
AAML
93
350
0
23 Dec 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions
Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
128
1,462
0
15 May 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient
  Evaluation
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L. Denton
Wojciech Zaremba
Joan Bruna
Yann LeCun
Rob Fergus
FAtt
177
1,689
0
02 Apr 2014
Previous
123