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A Survey of Deep Learning Techniques for Autonomous Driving

A Survey of Deep Learning Techniques for Autonomous Driving

17 October 2019
Sorin Grigorescu
Bogdan Trasnea
Tiberiu T. Cocias
G. Macesanu
    3DPC
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Papers citing "A Survey of Deep Learning Techniques for Autonomous Driving"

50 / 139 papers shown
Title
JaxSGMC: Modular stochastic gradient MCMC in JAX
JaxSGMC: Modular stochastic gradient MCMC in JAX
Stephan Thaler
Paul Fuchs
Ana Cukarska
Julija Zavadlav
BDL
37
2
0
16 May 2025
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
Benedict Hildisch
Edoardo Ghignone
Nicolas Baumann
Cheng Hu
Andrea Carron
Michele Magno
34
0
0
12 May 2025
On-demand Test-time Adaptation for Edge Devices
On-demand Test-time Adaptation for Edge Devices
Xiao Ma
Young D. Kwon
Dong-Lai Ma
TTA
55
0
0
02 May 2025
Legilimens: Performant Video Analytics on the System-on-Chip Edge
Legilimens: Performant Video Analytics on the System-on-Chip Edge
M. Ramanujam
Yinwei Dai
Kyle Jamieson
Ravi Netravali
78
0
0
29 Apr 2025
Scenario-based Compositional Verification of Autonomous Systems with Neural Perception
Scenario-based Compositional Verification of Autonomous Systems with Neural Perception
Christopher Watson
Rajeev Alur
Divya Gopinath
Ravi Mangal
C. Păsăreanu
53
0
0
29 Apr 2025
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning
Lars Ullrich
Zurab Mujirishvili
Knut Graichen
63
0
0
25 Apr 2025
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles
Sorin Grigorescu
Mihai V. Zaha
AI4CE
39
0
0
02 Apr 2025
Fully Autonomous Programming using Iterative Multi-Agent Debugging with Large Language Models
Anastasiia Grishina
Vadim Liventsev
Aki Härmä
Leon Moonen
ELM
87
0
0
10 Mar 2025
Long-tailed Adversarial Training with Self-Distillation
Seungju Cho
Hongsin Lee
Changick Kim
AAML
TTA
206
0
0
09 Mar 2025
Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control
Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control
Jielong Yang
Daoyuan Huang
46
0
0
21 Feb 2025
Online Controller Synthesis for Robot Collision Avoidance: A Case Study
Yuheng Fan
Wang Lin
46
0
0
08 Feb 2025
Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization
Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization
Brandon Ho
Batuhan Altundas
Matthew C. Gombolay
79
0
0
08 Feb 2025
A Survey of World Models for Autonomous Driving
A Survey of World Models for Autonomous Driving
Tuo Feng
Wenguan Wang
Yuqing Yang
VGen
83
6
0
20 Jan 2025
CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement
CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement
Yijie Li
Hewei Wang
Aggelos Katsaggelos
44
4
0
11 Jan 2025
CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving
Bhargava Uppuluri
Anjel Patel
Neil Mehta
Sridhar Kamath
Pratyush Chakraborty
40
0
0
10 Jan 2025
PlanScope: Learning to Plan Within Decision Scope Does Matter
PlanScope: Learning to Plan Within Decision Scope Does Matter
Ren Xin
Jie-Zhi Cheng
Jun Ma
Jun Ma
38
0
0
01 Nov 2024
Study on the Helpfulness of Explainable Artificial Intelligence
Study on the Helpfulness of Explainable Artificial Intelligence
Tobias Labarta
Elizaveta Kulicheva
Ronja Froelian
Christian Geißler
Xenia Melman
Julian von Klitzing
ELM
36
0
0
14 Oct 2024
Evaluating the Correctness of Inference Patterns Used by LLMs for Judgment
Evaluating the Correctness of Inference Patterns Used by LLMs for Judgment
Lu Chen
Yuxuan Huang
Yixing Li
Dongrui Liu
Qihan Ren
Shuai Zhao
Kun Kuang
Zilong Zheng
Quanshi Zhang
31
1
0
06 Oct 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object
  Detection
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection
A. Benfenati
P. Causin
Hang Yu
Zhedong Zheng
3DPC
46
2
0
01 Aug 2024
Learning Autonomous Race Driving with Action Mapping Reinforcement
  Learning
Learning Autonomous Race Driving with Action Mapping Reinforcement Learning
Yuanda Wang
Xin Yuan
Changyin Sun
42
1
0
21 Jun 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection
  in Internet of Vehicles
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles
Cyprien Quéméneur
Soumaya Cherkaoui
45
3
0
05 Jun 2024
HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios
HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios
Mingyang Jiang
Yueyuan Li
Songan Zhang
Siyuan Chen
Chunxiang Wang
Ming Yang
51
4
0
31 May 2024
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks
R. Mattey
Susanta Ghosh
AI4CE
43
1
0
09 May 2024
Towards Robust Physical-world Backdoor Attacks on Lane Detection
Towards Robust Physical-world Backdoor Attacks on Lane Detection
Xinwei Zhang
Aishan Liu
Tianyuan Zhang
Siyuan Liang
Xianglong Liu
AAML
52
10
0
09 May 2024
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Ruben Grewal
Paolo Tonella
Andrea Stocco
48
12
0
29 Apr 2024
Object criticality for safer navigation
Object criticality for safer navigation
Andrea Ceccarelli
Leonardo Montecchi
41
0
0
25 Apr 2024
Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
Zeng Peng
Xiao Zhou
Lei Zheng
Yubin Wang
Jun Ma
71
4
0
20 Mar 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
72
6
0
18 Mar 2024
Indirect Gradient Matching for Adversarial Robust Distillation
Indirect Gradient Matching for Adversarial Robust Distillation
Hongsin Lee
Seungju Cho
Changick Kim
AAML
FedML
53
2
0
06 Dec 2023
A Survey on Multimodal Large Language Models for Autonomous Driving
A Survey on Multimodal Large Language Models for Autonomous Driving
Can Cui
Yunsheng Ma
Xu Cao
Wenqian Ye
Yang Zhou
...
Xinrui Yan
Shuqi Mei
Jianguo Cao
Ziran Wang
Chao Zheng
43
251
0
21 Nov 2023
Influence of Team Interactions on Multi-Robot Cooperation: A Relational
  Network Perspective
Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective
Yasin Findik
Hamid Osooli
Paul Robinette
Kshitij Jerath
S. Ahmadzadeh
32
5
0
19 Oct 2023
Federated Learning for Connected and Automated Vehicles: A Survey of
  Existing Approaches and Challenges
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi
Liangqi Yuan
Christopher G. Brinton
Stanislaw H. .Zak
Ziran Wang
FedML
38
75
0
21 Aug 2023
Hardware Accelerators in Autonomous Driving
Hardware Accelerators in Autonomous Driving
Ken Power
S. Deva
Ting Wang
Julius Li
Ciarán Eising
16
1
0
11 Aug 2023
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust
  Neural Network Inference
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference
Edouard Yvinec
Arnaud Dapogny
Kévin Bailly
Xavier Fischer
AAML
10
2
0
09 Aug 2023
MFMAN-YOLO: A Method for Detecting Pole-like Obstacles in Complex
  Environment
MFMAN-YOLO: A Method for Detecting Pole-like Obstacles in Complex Environment
Lei Cai
Haozhao Wang
C. Zhou
Yongqiang Wang
Bo Liu
38
0
0
24 Jul 2023
On the Connection between Game-Theoretic Feature Attributions and
  Counterfactual Explanations
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
Emanuele Albini
Shubham Sharma
Saumitra Mishra
Danial Dervovic
Daniele Magazzeni
FAtt
46
2
0
13 Jul 2023
On the Limitations of Temperature Scaling for Distributions with
  Overlaps
On the Limitations of Temperature Scaling for Distributions with Overlaps
Muthuraman Chidambaram
Rong Ge
UQCV
37
4
0
01 Jun 2023
TOFG: A Unified and Fine-Grained Environment Representation in
  Autonomous Driving
TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving
Zihao Wen
Yifan Zhang
Xinhong Chen
Jianping Wang
32
1
0
31 May 2023
Safety of autonomous vehicles: A survey on Model-based vs. AI-based
  approaches
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches
Dimia Iberraken
Lounis Adouane
19
1
0
29 May 2023
SalienDet: A Saliency-based Feature Enhancement Algorithm for Object
  Detection for Autonomous Driving
SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving
Ning Ding
Ce Zhang
A. Eskandarian
44
10
0
11 May 2023
Towards the Characterization of Representations Learned via
  Capsule-based Network Architectures
Towards the Characterization of Representations Learned via Capsule-based Network Architectures
Saja AL-Tawalbeh
José Oramas
20
1
0
09 May 2023
Transformer-based models and hardware acceleration analysis in
  autonomous driving: A survey
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey
J. Zhong
Zheng Liu
Xiangshan Chen
ViT
44
17
0
21 Apr 2023
Understanding the Robustness of 3D Object Detection with Bird's-Eye-View
  Representations in Autonomous Driving
Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving
Zijian Zhu
Yichi Zhang
Hai Chen
Yinpeng Dong
Shu Zhao
Wenbo Ding
Jiachen Zhong
Shibao Zheng
AAML
3DPC
23
38
0
30 Mar 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
51
298
0
30 Mar 2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating
  Object Detection
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
Muhammad Akhtar Munir
Muhammad Haris Khan
Salman Khan
Fahad Shahbaz Khan
UQCV
38
15
0
25 Mar 2023
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep
  Neural Networks
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
Zohreh Aghababaeyan
Manel Abdellatif
Mahboubeh Dadkhah
Lionel C. Briand
AAML
34
15
0
08 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Yihan Cao
Siyu Li
Yixin Liu
Zhiling Yan
Yutong Dai
Philip S. Yu
Lichao Sun
29
507
0
07 Mar 2023
DISCO: Distributed Inference with Sparse Communications
DISCO: Distributed Inference with Sparse Communications
Minghai Qin
Chaowen Sun
Jaco A. Hofmann
D. Vučinić
FedML
27
1
0
22 Feb 2023
Recent Advancements in Deep Learning Applications and Methods for
  Autonomous Navigation: A Comprehensive Review
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review
Arman Asgharpoor Golroudbari
M. Sabour
16
19
0
22 Feb 2023
Closed-loop Analysis of Vision-based Autonomous Systems: A Case Study
Closed-loop Analysis of Vision-based Autonomous Systems: A Case Study
C. Păsăreanu
Ravi Mangal
D. Gopinath
Sinem Getir Yaman
Calum Imrie
R. Calinescu
Huafeng Yu
32
29
0
06 Feb 2023
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