A Survey of Deep Learning Techniques for Autonomous Driving

17 October 2019

Papers citing "A Survey of Deep Learning Techniques for Autonomous Driving"

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Title
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing Benedict Hildisch Edoardo Ghignone Nicolas Baumann Cheng Hu Andrea Carron Michele Magno 29 0 0 12 May 2025
On-demand Test-time Adaptation for Edge Devices Xiao Ma Young D. Kwon Dong-Lai Ma TTA 55 0 0 02 May 2025
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
Legilimens: Performant Video Analytics on the System-on-Chip Edge M. Ramanujam Yinwei Dai Kyle Jamieson Ravi Netravali 78 0 0 29 Apr 2025
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Lars Ullrich Zurab Mujirishvili Knut Graichen 54 0 0 25 Apr 2025
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles Sorin Grigorescu Mihai V. Zaha AI4CE 34 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 79 0 0 10 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 168 0 0 09 Mar 2025
Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control Jielong Yang Daoyuan Huang 35 0 0 21 Feb 2025
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
Online Controller Synthesis for Robot Collision Avoidance: A Case Study Yuheng Fan Wang Lin 44 0 0 08 Feb 2025
A Survey of World Models for Autonomous Driving Tuo Feng Wenguan Wang Y. Yang VGen 80 6 0 20 Jan 2025
CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement Yijie Li Hewei Wang Aggelos Katsaggelos 42 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 35 0 0 10 Jan 2025
PlanScope: Learning to Plan Within Decision Scope Does Matter Ren Xin Jie-Zhi Cheng Jun Ma Jun Ma 28 0 0 01 Nov 2024
Study on the Helpfulness of Explainable Artificial Intelligence Tobias Labarta Elizaveta Kulicheva Ronja Froelian Christian Geißler Xenia Melman Julian von Klitzing ELM 31 0 0 14 Oct 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection A. Benfenati P. Causin Hang Yu Zhedong Zheng 3DPC 42 2 0 01 Aug 2024
Learning Autonomous Race Driving with Action Mapping Reinforcement Learning Yuanda Wang Xin Yuan Changyin Sun 34 1 0 21 Jun 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles Cyprien Quéméneur S. Cherkaoui 43 3 0 05 Jun 2024
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 48 4 0 31 May 2024
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks R. Mattey Susanta Ghosh AI4CE 38 1 0 09 May 2024
Towards Robust Physical-world Backdoor Attacks on Lane Detection Xinwei Zhang Aishan Liu Tianyuan Zhang Siyuan Liang Xianglong Liu AAML 47 10 0 09 May 2024
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification Ruben Grewal Paolo Tonella Andrea Stocco 48 11 0 29 Apr 2024
Object criticality for safer navigation Andrea Ceccarelli Leonardo Montecchi 36 0 0 25 Apr 2024
Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections Zeng Peng Xiao Zhou Lei Zheng Yubin Wang Jun Ma 57 4 0 20 Mar 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 66 6 0 18 Mar 2024
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 50 2 0 06 Dec 2023
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 41 249 0 21 Nov 2023
Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective Yasin Findik Hamid Osooli Paul Robinette Kshitij Jerath S. Ahmadzadeh 30 5 0 19 Oct 2023
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 31 75 0 21 Aug 2023
MFMAN-YOLO: A Method for Detecting Pole-like Obstacles in Complex Environment Lei Cai H. Wang C. Zhou Yongqiang Wang Bo Liu 30 0 0 24 Jul 2023
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 Muthuraman Chidambaram Rong Ge UQCV 37 4 0 01 Jun 2023
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches Dimia Iberraken Lounis Adouane 11 1 0 29 May 2023
SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving Ning Ding Ce Zhang A. Eskandarian 35 10 0 11 May 2023
Towards the Characterization of Representations Learned via Capsule-based Network Architectures Saja AL-Tawalbeh José Oramas 20 1 0 09 May 2023
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 19 38 0 30 Mar 2023
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 43 297 0 30 Mar 2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection Muhammad Akhtar Munir Muhammad Haris Khan Salman Khan F. Khan UQCV 30 15 0 25 Mar 2023
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks Zohreh Aghababaeyan Manel Abdellatif Mahboubeh Dadkhah Lionel C. Briand AAML 26 15 0 08 Mar 2023
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 29 504 0 07 Mar 2023
DISCO: Distributed Inference with Sparse Communications Minghai Qin Chaowen Sun Jaco A. Hofmann D. Vučinić FedML 25 1 0 22 Feb 2023
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review Arman Asgharpoor Golroudbari M. Sabour 16 18 0 22 Feb 2023
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 27 29 0 06 Feb 2023
Recurrent Generic Contour-based Instance Segmentation with Progressive Learning Hao Feng Keyi Zhou Wen-gang Zhou Yufei Yin Jiajun Deng Qi Sun Houqiang Li SSeg ISeg 37 12 0 21 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 31 87 0 13 Jan 2023
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components F. Arnez H. Espinoza A. Radermacher F. Terrier UQCV 19 4 0 12 Jan 2023
Tuning Path Tracking Controllers for Autonomous Cars Using Reinforcement Learning Ana Carrasco J. Sequeira 11 2 0 09 Jan 2023
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs Huaizheng Zhang Yuanming Li Wencong Xiao Yizheng Huang Xing Di Jianxiong Yin Simon See Yong Luo C. Lau Yang You VLM 16 3 0 01 Jan 2023
ExploreADV: Towards exploratory attack for Neural Networks Tianzuo Luo Yuyi Zhong S. Khoo AAML 22 1 0 01 Jan 2023