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. 1901.04407
  4. Cited By
Self-Driving Cars: A Survey

Self-Driving Cars: A Survey

14 January 2019
C. Badue
Rânik Guidolini
Raphael V. Carneiro
Pedro Azevedo
Vinicius B. Cardoso
Avelino Forechi
Luan F. R. Jesus
Rodrigo Berriel
T. M. Paixão
Filipe Wall Mutz
Lucas Veronese
Thiago Oliveira-Santos
Alberto F. de Souza
    LRM
ArXivPDFHTML

Papers citing "Self-Driving Cars: A Survey"

50 / 173 papers shown
Title
Knowledge Engineering using Large Language Models
Knowledge Engineering using Large Language Models
Bradley Paul Allen
Lise Stork
Paul T. Groth
15
24
0
01 Oct 2023
EDGAR: An Autonomous Driving Research Platform -- From Feature
  Development to Real-World Application
EDGAR: An Autonomous Driving Research Platform -- From Feature Development to Real-World Application
Phillip Karle
Tobias Betz
Marcin Bosk
F. Fent
Nils Gehrke
...
K. Bengler
Georg Carle
Frank Diermeyer
Jorg Ott
Markus Lienkamp
6
27
0
27 Sep 2023
OccluTrack: Rethinking Awareness of Occlusion for Enhancing Multiple Pedestrian Tracking
OccluTrack: Rethinking Awareness of Occlusion for Enhancing Multiple Pedestrian Tracking
Jianjun Gao
Yi Wang
Kim-Hui Yap
Kratika Garg
Bo Han
79
1
0
19 Sep 2023
Rethinking Learning Rate Tuning in the Era of Large Language Models
Rethinking Learning Rate Tuning in the Era of Large Language Models
Hongpeng Jin
Wenqi Wei
Xuyu Wang
Wenbin Zhang
Yanzhao Wu
11
11
0
16 Sep 2023
The kernel-balanced equation for deep neural networks
The kernel-balanced equation for deep neural networks
Kenichi Nakazato
6
0
0
14 Sep 2023
DAD++: Improved Data-free Test Time Adversarial Defense
DAD++: Improved Data-free Test Time Adversarial Defense
Gaurav Kumar Nayak
Inder Khatri
Shubham Randive
Ruchit Rawal
Anirban Chakraborty
AAML
6
1
0
10 Sep 2023
Neural Networks for Programming Quantum Annealers
Neural Networks for Programming Quantum Annealers
Samuel Bosch
B. Kiani
Rui-Yuan Yang
A. Lupascu
S. Lloyd
14
2
0
13 Aug 2023
Evaluating the Robustness of Test Selection Methods for Deep Neural
  Networks
Evaluating the Robustness of Test Selection Methods for Deep Neural Networks
Qiang Hu
Yuejun Guo
Xiaofei Xie
Maxime Cordy
Wei Ma
Mike Papadakis
Yves Le Traon
NoLa
OOD
14
3
0
29 Jul 2023
EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized
  Maps
EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps
Yuzhe He
Shuang Liang
Xiaofei Rui
Chengying Cai
Guowei Wan
22
6
0
18 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A
  Survey
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey
Hanieh Naderi
Ivan V. Bajić
3DPC
25
7
0
01 Jul 2023
S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking
  with Adaptive Spatio-Temporal Appearance Representations
S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representations
Simon Doll
Niklas Hanselmann
Lukas Schneider
Richard Schulz
Markus Enzweiler
Hendrik P. A. Lensch
21
3
0
30 Jun 2023
A Survey on Datasets for Decision-making of Autonomous Vehicle
A Survey on Datasets for Decision-making of Autonomous Vehicle
Yuning Wang
Zeyu Han
Yining Xing
Shaobing Xu
Jianqiang Wang
28
3
0
29 Jun 2023
Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions
Chengzhi Cao
Chao Yang
Shuang Li
25
3
0
21 Jun 2023
Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand
  Edge Resource
Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand Edge Resource
Xiang Yang
Deliang Chen
Q. Qi
Jingyu Wang
Haifeng Sun
J. Liao
Song Guo
11
3
0
21 Jun 2023
Comprehensive Training and Evaluation on Deep Reinforcement Learning for
  Automated Driving in Various Simulated Driving Maneuvers
Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers
Yongqi Dong
Tobias Datema
Vincent Wassenaar
Joris van de Weg
Cahit Tolga Kopar
Harim Suleman
OffRL
14
0
0
20 Jun 2023
LiDAR-Based Place Recognition For Autonomous Driving: A Survey
LiDAR-Based Place Recognition For Autonomous Driving: A Survey
Yongjun Zhang
Pengcheng Shi
Jiayuan Li
39
22
0
18 Jun 2023
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and
  Mitigation of Reasoning Shortcuts
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
Emanuele Marconato
Stefano Teso
Antonio Vergari
Andrea Passerini
27
30
0
31 May 2023
Model-based Validation as Probabilistic Inference
Model-based Validation as Probabilistic Inference
Harrison Delecki
Anthony Corso
Mykel J. Kochenderfer
16
7
0
17 May 2023
Occupancy Prediction-Guided Neural Planner for Autonomous Driving
Occupancy Prediction-Guided Neural Planner for Autonomous Driving
Haochen Liu
Zhiyu Huang
Chen Lv
20
13
0
05 May 2023
Fast Deterministic Gathering with Detection on Arbitrary Graphs: The
  Power of Many Robots
Fast Deterministic Gathering with Detection on Arbitrary Graphs: The Power of Many Robots
A. R. Molla
Kaushik Mondal
W. Moses
13
2
0
02 May 2023
Group Equivariant BEV for 3D Object Detection
Group Equivariant BEV for 3D Object Detection
Hongzhi Liu
Jian Yang
Jianfeng Zhang
Dongheng Shao
Jielong Guo
Shaobo Li
Xuan Tang
Xian Wei
3DPC
17
0
0
26 Apr 2023
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of
  Surveys
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys
Long Chen
Yuchen Li
Chao Huang
Bai Li
Yang Xing
...
Chen Lv
Jinjun Wang
Dongpu Cao
N. Zheng
Feiyue Wang
33
296
0
30 Mar 2023
Vehicle lateral control using Machine Learning for automated vehicle
  guidance
Vehicle lateral control using Machine Learning for automated vehicle guidance
Akash Fogla
K. Kumar
Sunnay Saurav
Bishnu ramanujan
25
1
0
14 Mar 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A
  Contemporary Survey
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey
Yulong Wang
Tong Sun
Shenghong Li
Xinnan Yuan
W. Ni
E. Hossain
H. Vincent Poor
AAML
24
18
0
11 Mar 2023
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive
  Learning
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive Learning
Chihiro Noguchi
Toshihiro Tanizawa
SSL
11
9
0
02 Mar 2023
Causal Explanations for Sequential Decision-Making in Multi-Agent
  Systems
Causal Explanations for Sequential Decision-Making in Multi-Agent Systems
Balint Gyevnar
Chenghe Wang
Christopher G. Lucas
Shay B. Cohen
Stefano V. Albrecht
CML
18
10
0
21 Feb 2023
Cooperverse: A Mobile-Edge-Cloud Framework for Universal Cooperative
  Perception with Mixed Connectivity and Automation
Cooperverse: A Mobile-Edge-Cloud Framework for Universal Cooperative Perception with Mixed Connectivity and Automation
Zhengwei Bai
Guoyuan Wu
Matthew J. Barth
Yongkang Liu
E. A. Sisbot
K. Oguchi
11
5
0
06 Feb 2023
Towards Rigorous Understanding of Neural Networks via
  Semantics-preserving Transformations
Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations
Maximilian Schlüter
Gerrit Nolte
Alnis Murtovi
Bernhard Steffen
13
6
0
19 Jan 2023
Circular Accessible Depth: A Robust Traversability Representation for
  UGV Navigation
Circular Accessible Depth: A Robust Traversability Representation for UGV Navigation
Shikuan Xie
Ran Song
Yuenan Zhao
Xueqin Huang
Yibin Li
Wei Zhang
27
9
0
28 Dec 2022
Semantic 3D Grid Maps for Autonomous Driving
Semantic 3D Grid Maps for Autonomous Driving
Ajinkya Khoche
Maciej K. Wozniak
Daniel Duberg
Patric Jensfelt
3DPC
13
9
0
03 Nov 2022
Visually Adversarial Attacks and Defenses in the Physical World: A
  Survey
Visually Adversarial Attacks and Defenses in the Physical World: A Survey
Xingxing Wei
Bangzheng Pu
Jiefan Lu
Baoyuan Wu
AAML
22
10
0
03 Nov 2022
Common Corruption Robustness of Point Cloud Detectors: Benchmark and
  Enhancement
Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement
Shuangzhi Li
Zhijie Wang
Felix Juefei Xu
Qing-Wu Guo
Xingyu Li
L. Ma
3DPC
29
20
0
12 Oct 2022
A Survey on Knowledge Graph-based Methods for Automated Driving
A Survey on Knowledge Graph-based Methods for Automated Driving
J. Luettin
Sebastian Monka
C. Henson
Lavdim Halilaj
8
12
0
30 Sep 2022
D-InLoc++: Indoor Localization in Dynamic Environments
D-InLoc++: Indoor Localization in Dynamic Environments
Martina Dubeňová
Anna Zderadickova
Ondřej Kafka
Tomas Pajdla
Michal Polic
17
3
0
21 Sep 2022
GAMA: Generative Adversarial Multi-Object Scene Attacks
GAMA: Generative Adversarial Multi-Object Scene Attacks
Abhishek Aich
Calvin-Khang Ta
Akash Gupta
Chengyu Song
S. Krishnamurthy
M. Salman Asif
A. Roy-Chowdhury
AAML
41
17
0
20 Sep 2022
KT-BT: A Framework for Knowledge Transfer Through Behavior Trees in
  Multi-Robot Systems
KT-BT: A Framework for Knowledge Transfer Through Behavior Trees in Multi-Robot Systems
Sanjay Sarma Oruganti Venkata
Ramviyas Parasuraman
R. Pidaparti
11
13
0
07 Sep 2022
Research on Stable Obstacle Avoidance Control Strategy for Tracked
  Intelligent Transportation Vehicles in Non-structural Environment Based on
  Deep Learning
Research on Stable Obstacle Avoidance Control Strategy for Tracked Intelligent Transportation Vehicles in Non-structural Environment Based on Deep Learning
Yitian Wang
Jun Lin
Liu Zhang
Tianhao Wang
Hao Xu
Guanyu Zhang
Yang Liu
16
0
0
30 Jul 2022
Multi-Agent Reinforcement Learning for Long-Term Network Resource
  Allocation through Auction: a V2X Application
Multi-Agent Reinforcement Learning for Long-Term Network Resource Allocation through Auction: a V2X Application
Jing Tan
R. Khalili
Holger Karl
A. Hecker
OffRL
17
2
0
29 Jul 2022
Planning and Learning: Path-Planning for Autonomous Vehicles, a Review
  of the Literature
Planning and Learning: Path-Planning for Autonomous Vehicles, a Review of the Literature
Kevin Osanlou
Christophe Guettier
Tristan Cazenave
Éric Jacopin
20
3
0
26 Jul 2022
The Multiple Subnetwork Hypothesis: Enabling Multidomain Learning by
  Isolating Task-Specific Subnetworks in Feedforward Neural Networks
The Multiple Subnetwork Hypothesis: Enabling Multidomain Learning by Isolating Task-Specific Subnetworks in Feedforward Neural Networks
Jacob Renn
Ian Sotnek
Benjamin Harvey
B. Caffo
OOD
CLL
16
0
0
18 Jul 2022
A Certifiable Security Patch for Object Tracking in Self-Driving Systems
  via Historical Deviation Modeling
A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling
Xudong Pan
Qifan Xiao
Mi Zhang
Min Yang
AAML
29
1
0
18 Jul 2022
Holistic Transformer: A Joint Neural Network for Trajectory Prediction
  and Decision-Making of Autonomous Vehicles
Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehicles
Hongyu Hu
Qi Wang
Zheng-Wei Zhang
Zheng Li
Zhenhai Gao
22
28
0
17 Jun 2022
Lane-Level Route Planning for Autonomous Vehicles
Lane-Level Route Planning for Autonomous Vehicles
Mitchell Jones
Maximilian Haas-Heger
J. V. D. Berg
11
4
0
06 Jun 2022
VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo
  Images
VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images
Illia Oleksiienko
Paraskevi Nousi
Nikolaos Passalis
Anastasios Tefas
Alexandros Iosifidis
3DPC
24
2
0
06 Jun 2022
On the Choice of Data for Efficient Training and Validation of
  End-to-End Driving Models
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models
Marvin Klingner
Konstantin Müller
Mona Mirzaie
Jasmin Breitenstein
Jan-Aike Termöhlen
Tim Fingscheidt
17
4
0
01 Jun 2022
Learning Car Speed Using Inertial Sensors for Dead Reckoning Navigation
Learning Car Speed Using Inertial Sensors for Dead Reckoning Navigation
M. Freydin
B. Or
19
15
0
15 May 2022
Wavelet-Based Hybrid Machine Learning Model for Out-of-distribution
  Internet Traffic Prediction
Wavelet-Based Hybrid Machine Learning Model for Out-of-distribution Internet Traffic Prediction
Sajal Saha
Anwar Haque
Greg Sidebottom
OODD
OOD
8
3
0
09 May 2022
Adaptive Memory Management for Video Object Segmentation
Adaptive Memory Management for Video Object Segmentation
Ali Pourganjalikhan
Charalambos (Charis) Poullis
VOS
25
1
0
13 Apr 2022
Multi-Agent Distributed Reinforcement Learning for Making Decentralized
  Offloading Decisions
Multi-Agent Distributed Reinforcement Learning for Making Decentralized Offloading Decisions
Jing Tan
R. Khalili
Holger Karl
A. Hecker
OffRL
11
20
0
05 Apr 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet
Kartik Ahuja
Mohammad Javad Darvishi Bayazi
Pooneh Mousavi
G. Dumas
Irina Rish
OOD
CML
AI4TS
24
29
0
18 Mar 2022
Previous
1234
Next