Papers citing 'Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies'

Title
From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving Xinyu Xia Xingjun Ma Yunfeng Hu Ting Qu Hong Chen Xun Gong 88 0 0 28 May 2025
Logit Disagreement: OoD Detection with Bayesian Neural Networks Kevin Raina UQCV BDL UD PER 191 0 0 24 Feb 2025
Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Brandon Ho Batuhan Altundas Matthew C. Gombolay 175 0 0 08 Feb 2025
Combining Cloud and Mobile Computing for Machine Learning Ruiqi Xu Tianchi Zhang 134 1 0 20 Jan 2024
ALBERTA: ALgorithm-Based Error Resilience in Transformer Architectures Haoxuan Liu Vasu Singh Michal Filipiuk S. Hari 48 4 0 05 Oct 2023
End-to-end Lidar-Driven Reinforcement Learning for Autonomous Racing Meraj Mammadov 71 3 0 01 Sep 2023
A Survey on Datasets for Decision-making of Autonomous Vehicle Yuning Wang Zeyu Han Yining Xing Shaobing Xu Jianqiang Wang 158 4 0 29 Jun 2023
A survey on deep learning approaches for data integration in autonomous driving system Xi Zhu Likang Wang Caifa Zhou Xiya Cao Yue Gong Lei Chen 144 3 0 17 Jun 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 153 384 0 30 Mar 2023
LiDAR-as-Camera for End-to-End Driving Ardi Tampuu Romet Aidla J. Gent Tambet Matiisen 69 20 0 30 Jun 2022
Tensor Program Optimization with Probabilistic Programs Junru Shao Xiyou Zhou Siyuan Feng Bohan Hou Ruihang Lai Hongyi Jin Wuwei Lin Masahiro Masuda Cody Hao Yu Tianqi Chen 140 34 0 26 May 2022
Bimodal Distributed Binarized Neural Networks T. Rozen Moshe Kimhi Brian Chmiel A. Mendelson Chaim Baskin MQ 164 4 0 05 Apr 2022
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4 William Berrios Arturo Deza MedIm ViT 102 13 0 08 Mar 2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision T. Elsken Arber Zela J. H. Metzen B. Staffler Thomas Brox Abhinav Valada Frank Hutter OOD 88 20 0 15 Feb 2022
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks Dennis Grinwald Kirill Bykov Shinichi Nakajima Marina M.-C. Höhne 105 5 0 26 Jan 2022
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning Achintya Gopal UQCV 110 1 0 02 Dec 2021
Deep Deterministic Uncertainty for Semantic Segmentation Jishnu Mukhoti Joost R. van Amersfoort Philip Torr Y. Gal BDL UQCV 126 33 0 29 Oct 2021
A framework for benchmarking uncertainty in deep regression F. Schmähling Jörg Martin Clemens Elster UQCV 78 8 0 10 Sep 2021
Reliving the Dataset: Combining the Visualization of Road Users' Interactions with Scenario Reconstruction in Virtual Reality Lars Töttel Maximilian Zipfl Daniel Bogdoll M. Zofka J. Marius Zöllner 116 7 0 04 May 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip Torr Y. Gal UD UQCV PER BDL 207 182 0 23 Feb 2021
Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities Andrew Hryniowski Xiao Yu Wang A. Wong 87 11 0 30 Sep 2020
Monocular Depth Estimation Based On Deep Learning: An Overview Chaoqiang Zhao Qiyu Sun Chongzhen Zhang Yang Tang Feng Qian MDE 384 269 0 14 Mar 2020