Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning

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MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

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Single-Image Depth Perception in the WildPreprint

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The Semantic Paintbrush

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A comprehensive overview of core modules in visual SLAM framework

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A Survey on Localization for Autonomous Vehicles

Kumar, D., & Muhammad, N. (2023) · IEEE Access · doi:10.1109/access.2023.3326069 · Cited by 51 · see citing works

Overview of deep learning application on visual SLAM

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Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems

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Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks

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Overview and Empirical Analysis of ISP Parameter Tuning for Visual Perception in Autonomous Driving

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Autonomous Driving with Deep Learning: A Survey of State-of-Art TechnologiesPreprint

Huang, Y., & Chen, Y. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2006.06091 · Cited by 56 · see citing works

Image-based attitude determination of co-orbiting satellites using deep learning technologies

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NeurAll: Towards a Unified Visual Perception Model for Automated Driving

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Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-Task Baseline

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Deep Reinforcement Learning With NMPC Assistance Nash Switching for Urban Autonomous Driving

Alighanbari, S., & Azad, N. L. (2022) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2022.3167616 · Cited by 29 · see citing works

Information-Containing Adversarial Perturbation for Combating Facial Manipulation Systems

Zhu, Y. T., Chen, Y., Li, X., Zhang, R., Tian, X., Zheng, B., & Chen, Y. (2023) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2023.3262156 · Cited by 31 · see citing works

DeepTrailerAssist: Deep Learning Based Trailer Detection, Tracking and Articulation Angle Estimation on Automotive Rear-View Camera

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Kaleidoscope: Physical Backdoor Attacks Against Deep Neural Networks With RGB Filters

Gong, X., Wang, Z., Chen, Y., Xue, M., Wang, Q., & Shen, C. Q. (2023) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2023.3239225 · Cited by 27 · see citing works

A LiDAR Mapping System for Robot Navigation in Dynamic Environments

Zhou, Z., Feng, X. M., Di, S., & Zhou, X. (2023) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2023.3328013 · Cited by 26 · see citing works

Robust Visual-Inertial Integrated Navigation System Aided by Online Sensor Model Adaption for Autonomous Ground Vehicles in Urban Areas

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Visual SLAM Combining Lines and Structural Regularities: Towards Robust Localization

Zhao, W., Sun, H., Zhang, X., & Xiong, Y. (2023) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2023.3311511 · Cited by 20 · see citing works

An Extensive Study on Deep Learning: Techniques, Applications

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Real-Time Cloud Visual Simultaneous Localization and Mapping for Indoor Service Robots

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ATTEQ-NN: Attention-based QoE-aware Evasive Backdoor Attacks

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TECHNOLOGICAL MEASURES OF FOREFRONT ROAD IDENTIFICATION FOR VEHICLE COMFORT AND SAFETY IMPROVEMENT

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Unsupervised Learning of Depth Estimation and Camera Pose With Multi-Scale GANs

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RF-LOAM: Robust and Fast LiDAR Odometry and Mapping in Urban Dynamic Environment

Li, J., Zhang, X., Zhang, Y., Chang, Y., & Zhao, K. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3324429 · Cited by 16 · see citing works

Behavior Prediction for Unmanned Driving Based on Dual Fusions of Feature and Decision

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RTSDM: A Real-Time Semantic Dense Mapping System for UAVs

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Trained Trajectory based Automated Parking System using Visual SLAM.Preprint

Tripathi, N., Sistu, G., & Yogamani, S. K. (2020) · arXiv (Cornell University) · Cited by 14 · see citing works

A review on monocular tracking and mapping: from model-based to data-driven methods

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A Mono SLAM Method Based on Depth Estimation by DenseNet-CNN

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Interactive continual learning for robots: a neuromorphic approach

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Robustness Improvement of Using Pre-Trained Network in Visual Odometry for On-Road Driving

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Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator

Cao, Z., Li, Z., Chen, Y., Pan, H., Hu, Y., & Liu, J. (2023) · IEEE International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs57875.2023.00062 · Cited by 11 · see citing works

NeurAll: Towards a Unified Model for Visual Perception in Automated DrivingPreprint

Sistu, G., Leang, I., Chennupati, S., Hughes, C., Milz, S., Yogamani, S. K., & Rawashdeh, S. A. (2019) · arXiv (Cornell University) · Cited by 11 · see citing works

Robust Visual Teach and Repeat for UGVs Using 3D Semantic Maps

Mahdavian, M., Yin, K., & Chen, M. (2022) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2022.3189165 · Cited by 10 · see citing works

Resource-Efficient and High-Throughput VLSI Design of Global Optical Flow Method for Mobile Systems

Jang, S., & Kyung, C. (2020) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · doi:10.1109/tvlsi.2020.2984822 · Cited by 10 · see citing works

Under-Canopy Navigation for an Agricultural Rover Based on Image Data

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Edge-Cloud Collaborated Object Detection via Bandwidth Adaptive Difficult-Case Discriminator

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InTEn-LOAM: Intensity and Temporal Enhanced LiDAR Odometry and Mapping

Li, S., Tian, B., Zhu, X., Gui, J., Yao, W., & Li, G. (2022) · Remote Sensing · doi:10.3390/rs15010242 · Cited by 9 · see citing works

A Novel Left-Turn Signal Control Method for Improving Intersection Capacity in a Connected Vehicle Environment

Ren, C., Wang, J., Qin, L., Li, S., & Cheng, Y. (2019) · Electronics · doi:10.3390/electronics8091058 · Cited by 9 · see citing works

Training Large Models on Heterogeneous and Geo-Distributed Resource with Constricted Networks

Zong, Z., Guo, M., Zhai, M., Tang, Y., Li, J., & Zhai, J. (2025) · Big Data Mining and Analytics · doi:10.26599/bdma.2025.9020031 · Cited by 8 · see citing works

Semantic-Assisted LIDAR Tightly Coupled SLAM for Dynamic Environments

Liu, P., Bi, Y., Shi, J., Zhang, T., & Wang, C. (2024) · IEEE Access · doi:10.1109/access.2024.3369183 · Cited by 8 · see citing works

Research on New Energy Grid Connection and Electric Vehicle Charging Fault Resolution Method

Xu, M., Long, X., & Zhou, W. (2019) · International Conference on Ubiquitous Computing and Communications (IUCC) · doi:10.1109/iucc/dsci/smartcns.2019.00154 · Cited by 8 · see citing works

Multi-Robot SLAM Using Fast LiDAR Odometry and Mapping

Jalil, B. A., & Ibraheem, I. K. (2023) · Designs · doi:10.3390/designs7050110 · Cited by 8 · see citing works

Exploring Self-Attention for Visual OdometryPreprint

Damirchi, H., Khorrambakht, R., & Taghirad, H. D. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.08634 · Cited by 8 · see citing works

Trained Trajectory based Automated Parking System using Visual SLAM on Surround View CamerasPreprint

Tripathi, N., & Yogamani, S. K. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2001.02161 · Cited by 7 · see citing works

An Effective and Resilient Backdoor Attack Framework Against Deep Neural Networks and Vision Transformers

Gong, X., Tian, B., Xue, M., Wu, Y. L., Chen, Y., & Wang, Q. (2025) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2025.3548970 · Cited by 6 · see citing works

KerbNet: A QoE-Aware Kernel-Based Backdoor Attack Framework

Gong, X., Chen, Y., Huang, H., Kong, W., Wang, Z., Shen, C. Q., & Wang, Q. (2023) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2023.3286842 · Cited by 6 · see citing works

ASBNN: Acceleration of Bayesian Convolutional Neural Networks by Algorithm-hardware Co-design

Fujiwara, Y., & Takamaeda-Yamazaki, S. (2021) · IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP) · doi:10.1109/asap52443.2021.00041 · Cited by 5 · see citing works

LET-SE2-VINS: A Hybrid Optical Flow Framework for Robust Visual–Inertial SLAM

Zhao, W., Sun, H., Ma, S., & Wang, H. (2025) · Sensors · doi:10.3390/s25133837 · Cited by 4 · see citing works

A unimodal degradation detection method for particle filter-based slam algorithms

Li, Y., Xiong, Q., Li, Z., Shi, X., & Chi, W. (2024) · Procedia Computer Science · doi:10.1016/j.procs.2024.11.035 · Cited by 4 · see citing works

Learning to Assess Danger from Movies for Cooperative Escape Planning in Hazardous Environments

Shree, V., Allen, S. E., Asfora, B., Banfi, J., & Campbell, M. (2022) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros47612.2022.9982279 · Cited by 4 · see citing works

Hybrid synthetic data generation pipeline that outperforms real data

Natarajan, S. A., & Madden, M. G. (2023) · Journal of Electronic Imaging · doi:10.1117/1.jei.32.2.023011 · Cited by 5 · see citing works

Visual Odometry for Self-Driving with Multihypothesis and Network Prediction

Chen, Y., Mei, Y., & Wan, S.-F. (2021) · Mathematical Problems in Engineering · doi:10.1155/2021/1930881 · Cited by 5 · see citing works

Near-field Sensing Architecture for Low-Speed Vehicle Automation using a Surround-view Fisheye Camera System.Preprint

Eising, C., Horgan, J., & Yogamani, S. K. (2021) · arXiv (Cornell University) · Cited by 4 · see citing works

Enhancing the Transferability of Targeted Attacks with Adversarial Perturbation Transform

Deng, Z., Xiao, W. F., Li, X., He, S., & Wang, Y. (2023) · Electronics · doi:10.3390/electronics12183895 · Cited by 3 · see citing works

Real-time Dense 3D Semantic Mapping Using RGB-D Camera

Yang, G., Wang, X., Zhu, D., & Li, Y. (2023) · Chinese Control Conference (CCC) · doi:10.23919/ccc58697.2023.10241093 · Cited by 3 · see citing works

EV-FuseMODNet: Moving Object Detection Using the Fusion of Event Camera and Frame Camera

Sun, H., Chen, S., Dao, M.-Q., & Frémont, V. (2023) · IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) · doi:10.1109/soli60636.2023.10425107 · Cited by 3 · see citing works

Autonomous Path Travel Control of Mobile Robot Using Internal and External Camera Images in GPS-Denied Environments

Yamada, K., Koga, S., Shimoda, T., & Sato, K. (2021) · Journal of Robotics and Mechatronics · doi:10.20965/jrm.2021.p1284 · Cited by 3 · see citing works

ATDN vSLAM: An All-Through Deep Learning-Based Solution for Visual Simultaneous Localization and Mapping

Szántó, M., Bogár, G. R., & Vajta, L. (2022) · Periodica Polytechnica Electrical Engineering and Computer Science · doi:10.3311/ppee.20437 · Cited by 3 · see citing works

Reinforcement learning for autonomous vehicle movements in wireless multimedia applications

Afifi, H., Ramaswamy, A., & Karl, H. (2023) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2023.101799 · Cited by 3 · see citing works

RDP-LOAM: Remove-Dynamic-Points LiDAR Odometry and Mapping

Cao, X., Wei, C. Y., Hu, J., Ding, M., Zhang, M., & Kang, Z. (2023) · IEEE International Conference on Unmanned Systems (ICUS) · doi:10.1109/icus58632.2023.10318381 · Cited by 2 · see citing works

Endo-SLAM:A Dense Endoscopic SLAM with Neural Implicit Representation

Shan, J., Li, Y., & Wang, H. (2023) · China Automation Congress (CAC) · doi:10.1109/cac59555.2023.10451773 · Cited by 2 · see citing works

Machine Vision System for Autonomous Agricultural Vehicle

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Adaptive compensation visual odometry in dynamic scenarios

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YUVMultiNet: Real-time YUV multi-task CNN for autonomous drivingPreprint

Boulay, T., El-Hachimi, S., Surisetti, M. K., Maddu, P., & Kandan, S. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1904.05673 · Cited by 2 · see citing works

A Comprehensive Defense Approach Targeting The Computer Vision Based Cheating Tools in FPS Video Games

Nhu, A. N., Phan, H., Liu, C., & Feng, X. (2023) · IEEE International Performance, Computing, and Communications Conference · doi:10.1109/ipccc59175.2023.10253881 · Cited by 1 · see citing works

An Exploration of Human Pose Estimation Based Cheating Tools for FPS Video Game and its Defense Solution

Liu, C., Gao, Z., Liao, Z., Sun, Y., & Feng, X. (2024) · IEEE International Workshop on Multimedia Signal Processing (MMSP) · doi:10.1109/mmsp61759.2024.10743575 · Cited by 1 · see citing works

Sąsūkos dirbtinių neuronų tinklų įgyvendinimas spartinančiuosiuose įrenginiuose vaizdams analizuoti realiuoju laiku

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Visual Odometry in Dynamic Environments using Light Weight Semantic Segmentation

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Self- Driving With Deep Reinforcement ( Survey )

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Visual SLAM Methods for Autonomous Driving Vehicles

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LF2SLAM: Learning-based Features For visual SLAM

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Salient Bundle Adjustment for Visual SLAMPreprint

Wang, K., Ma, S., Chen, J., & Lǚ, J. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2012.11863

Attention Aware Deep Learning Object Detection and Simulation

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MAOMaps: A Photo-Realistic Benchmark For vSLAM and Map Merging Quality AssessmentPreprint

Bokovoy, A., Muravyev, K., & Yakovlev, K. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2105.14994

Multi-agent Reinforcement Learning for Autonomous Vehicles in Wireless Sensor NetworksPreprint

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Mobile Oriented Future Internet (MOFI)

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Advanced algorithms of SLAM in medical endoscopy

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A Compact and Low-Cost Rolling-LiDAR for Three-Dimensional Mapping

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Poison Egg: Scrambling Federated Learning with Delayed Backdoor Attack

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Ongoing Evolution of Visual SLAM from Geometry to Deep Learning: Challenges and Opportunities

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Overview of deep learning application on visual SLAM

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Deep Learning for Visual SLAM: The State-of-the-Art and Future Trends

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Deep Learning for Visual SLAM in Transportation Robotics: A review

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Deep Learning Techniques for Visual SLAM: A Survey

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