Vehicle-to-Vehicle Distance Estimation Using Artificial Neural Network and a Toe-in-Style Stereo Camera

A flexible new technique for camera calibration

Zhang, Z. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.888718 · Cited by 15,004 · see citing works

A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms

Scharstein, D., & Szeliski, R. (2002) · International Journal of Computer Vision · doi:10.1023/a:1014573219977 · Cited by 6,740 · see citing works

Stereo Processing by Semiglobal Matching and Mutual Information

Hirschmüller, H. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1166 · Cited by 4,199 · see citing works

Unsupervised Monocular Depth Estimation with Left-Right Consistency

Godard, C., Aodha, O. M., & Brostow, G. J. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.699 · Cited by 3,270 · see citing works

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

Mayer, N., Ilg, E., Hausser, P., Fischer, P., Cremers, D., Dosovitskiy, A., & Brox, T. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.438 · Cited by 2,488 · see citing works

Deep Ordinal Regression Network for Monocular Depth Estimation

Fu, H., Gong, M., Wang, C., Batmanghelich, K., & Tao, D. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00214 · Cited by 1,991 · see citing works

Non-parametric local transforms for computing visual correspondence

Zabih, R., & Woodfill, J. (1994) · Lecture notes in computer science · doi:10.1007/bfb0028345 · Cited by 1,797 · see citing works

Make3D: Learning 3D Scene Structure from a Single Still Image

Saxena, A., Sun, M., & Ng, A. Y. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.132 · Cited by 1,738 · see citing works

Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

Garg, R., B.G., V. K., Carneiro, G., & Reid, I. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46484-8_45 · Cited by 1,632 · see citing works

Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

Liu, F., Shen, C., Lin, G., & Reid, I. D. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2505283 · Cited by 1,231 · see citing works

Computing visual correspondence with occlusions using graph cuts

Kolmogorov, V., & Ramin Zabih, A. (2002) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2001.937668 · Cited by 1,128 · see citing works

A multiple-baseline stereo

Okutomi, M., & Kanade, T. (1993) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.206955 · Cited by 948 · see citing works

Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure

Klaus, A., Sormann, M., & Karner, K. (2006) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2006.1033 · Cited by 840 · see citing works

Efficient Deep Learning for Stereo Matching

Luo, W., Schwing, A. G., & Urtasun, R. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.614 · Cited by 764 · see citing works

Semi-Supervised Deep Learning for Monocular Depth Map Prediction

Kuznietsov, Y., Stuckler, J., & Leibe, B. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.238 · Cited by 680 · see citing works

Recovering Surface Layout from an Image

Hoiem, D., Efros, A. A., & Hebert, M. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-006-0031-y · Cited by 678 · see citing works

Pulling Things out of Perspective

Ladický, Ľ., Shi, J., & Pollefeys, M. (2014) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2014.19 · Cited by 463 · see citing works

Discrete-Continuous Depth Estimation from a Single Image

Liu, M., Salzmann, M., & He, X. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.97 · Cited by 381 · see citing works

Designing deep networks for surface normal estimation

Wang, X., Fouhey, D. F., & Gupta, A. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7298652 · Cited by 343 · see citing works

Monocular Depth Estimation Using Neural Regression Forest

Roy, A., & Todorović, S. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.594 · Cited by 325 · see citing works

A region based stereo matching algorithm using cooperative optimization

Wang, Z., & Zheng, Z. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587456 · Cited by 276 · see citing works

On the Uncertainty of Self-Supervised Monocular Depth Estimation

Poggi, M., Aleotti, F., Tosi, F., & Mattoccia, S. (2020) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr42600.2020.00329 · Cited by 276 · see citing works

A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single RGB Images

Li, J., Klein, R., & Yao, A. (2017) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.365 · Cited by 264 · see citing works

A Robust and Efficient Approach to License Plate Detection

Yuan, Y., Zou, W., Zhao, Y. J., Wang, X., Hu, X., & Nikos Komodakis, A. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2631901 · Cited by 244 · see citing works

Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning

Shaked, A., & Wolf, L. (2017) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2017.730 · Cited by 194 · see citing works

DenseReg: Fully Convolutional Dense Shape Regression In-the-WildPreprint

G\"uler, R. A., Trigeorgis, G., Antonakos, E., Snape, P., Zafeiriou, S. P., & Kokkinos, I. (2016) · arXiv (Cornell University) · Cited by 187 · see citing works

Dense Monocular Depth Estimation in Complex Dynamic Scenes

Ranftl, R., Vineet, V., Chen, Q., & Koltun, V. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.440 · Cited by 174 · see citing works

Monocular Object Instance Segmentation and Depth Ordering with CNNs

Zhang, Z., Schwing, A. G., Fidler, S., & Urtasun, R. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.300 · Cited by 153 · see citing works

Patch Based Confidence Prediction for Dense Disparity Map

Seki, A., & Pollefeys, M. (2016) · British Machine Vision Conference (BMVC) · doi:10.5244/c.30.23 · Cited by 153 · see citing works

Distance measurement system for autonomous vehicles using stereo camera

Zaarane, A., Slimani, I., Okaishi, W. A., Atouf, I., & Hamdoun, A. (2020) · Array · doi:10.1016/j.array.2020.100016 · Cited by 120 · see citing works

Learning-Based, Automatic 2D-to-3D Image and Video Conversion

Konrad, J., Wang, M., Ishwar, P., Wu, C., & Mukherjee, D. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2270375 · Cited by 104 · see citing works

Learning from scratch a confidence measure

Poggi, M., & Mattoccia, S. (2016) · British Machine Vision Conference (BMVC) · doi:10.5244/c.30.46 · Cited by 104 · see citing works

Indoor scene structure analysis for single image depth estimation

Zhuo, W., Salzmann, M., He, X., & Liu, M. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7298660 · Cited by 94 · see citing works

Obstacle detection for self-driving cars using only monocular cameras and wheel odometry

Häne, C., Sattler, T., & Pollefeys, M. (2015) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2015.7354095 · Cited by 94 · see citing works

Vehicle license plate detection using region-based convolutional neural networks

Rafique, M. A., Pedrycz, W., & Jeon, M. (2017) · Soft Computing · doi:10.1007/s00500-017-2696-2 · Cited by 91 · see citing works

A vehicle license plate detection method using region and edge based methods

Lalimi, M. A., Ghofrani, S., & McLernon, D. (2012) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2012.09.015 · Cited by 72 · see citing works

Local Metric Learning for Exemplar-Based Object Detection

You, X., Li, Q., Tao, D., Ou, W., & Gong, M. (2014) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2014.2306031 · Cited by 69 · see citing works

Beyond Local Reasoning for Stereo Confidence Estimation with Deep Learning

Tosi, F., Poggi, M., Benincasa, A., & Mattoccia, S. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01231-1_20 · Cited by 63 · see citing works

LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation

Kim, S., Kim, S., Min, D., & Sohn, K. (2019) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2019.00029 · Cited by 59 · see citing works

Vehicle detection and inter-vehicle distance estimation using single-lens video camera on urban/suburb roads

Huang, D.-Y., Chen, C.-H., Chen, T.-Y., Hu, W.-C., & Feng, K.-W. (2017) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2017.04.006 · Cited by 55 · see citing works

Unified Confidence Estimation Networks for Robust Stereo Matching

Kim, S., Min, D., Kim, S., & Sohn, K. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2878325 · Cited by 51 · see citing works

On the confidence of stereo matching in a deep-learning era: a quantitative evaluation

Poggi, M., Kim, S., Tosi, F., Kim, S., Aleotti, F., Min, D., Sohn, K., & Mattoccia, S. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3069706 · Cited by 51 · see citing works

A Novel Distance Estimation Method Leading a Forward Collision Avoidance Assist System for Vehicles on Highways

Liu, L.-C., Fang, C.-Y., & Chen, S.-W. (2016) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2016.2597299 · Cited by 50 · see citing works

Robust Range Estimation with a Monocular Camera for Vision-Based Forward Collision Warning System

Park, K.-Y., & Hwang, S.-Y. (2014) · The Scientific World JOURNAL · doi:10.1155/2014/923632 · Cited by 49 · see citing works

Robust Contrast Invariant Stereo Correspondence

Ogale, A. S., & Aloimonos, Y. (2006) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2005.1570218 · Cited by 42 · see citing works

Direction matters: Depth estimation with a surface normal classifier

Häne, C., Ladický, Ľ., & Pollefeys, M. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7298635 · Cited by 39 · see citing works

Camera-Based Object Detection, Identification and Distance Estimation

Rahul, & Nair, B. B. (2018) · International Conference on Micro-Electronics and Telecommunication Engineering · doi:10.1109/icmete.2018.00052 · Cited by 38 · see citing works

An Improvement Stereo Vision Images Processing for Object Distance Measurement

Tsung-Shiang, H., & Wang, T.-C. (2015) · International Journal of Automation and Smart Technology · doi:10.5875/ausmt.v5i2.460 · Cited by 35 · see citing works

Efficient Vehicle Detection and Distance Estimation Based on Aggregated Channel Features and Inverse Perspective Mapping from a Single Camera

Kim, J. (2019) · Symmetry · doi:10.3390/sym11101205 · Cited by 31 · see citing works

Vehicle distance detection based on monocular vision

Bao, D., & Wang, P. (2016) · doi:10.1109/pic.2016.7949492 · Cited by 28 · see citing works

Measurement of Safe Driving Distance Based on Stereo Vision

Hou, A., Cui, X., Geng, Y., Yuan, W.-J., & Hou, J. (2011) · International Conference on Image and Graphics · doi:10.1109/icig.2011.27 · Cited by 27 · see citing works

Deep Learning based Object Distance Measurement Method for Binocular Stereo Vision Blind Area

Zhang, J., Hu, S., & Shi, H. (2018) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2018.090977 · Cited by 24 · see citing works

Real-time search-free multiple license plate recognition via likelihood estimation of saliency

Safaei, A., Tang, H. L., & Sanei, S. (2016) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2016.09.010 · Cited by 23 · see citing works

License plate detection for multi-national vehicles: An illumination invariant approach in multi-lane environment

Asif, M. R., Qi, C., Wang, T., Fareed, M. S., & Raza, S. A. (2019) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2019.07.012 · Cited by 23 · see citing works

Distance estimation algorithm for both long and short ranges based on stereo vision system

Lim, Y.-C., Lee, C.-H., Kwon, S. C., & Jung, W. (2008) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2008.4621190 · Cited by 22 · see citing works

Illumination-robust area-based stereo matching with improved census transform

Luan, X., Yu, F., Zhou, H., Li, X., Song, D., & Wu, B. (2012) · International Conference on Measurement, Information and Control · doi:10.1109/mic.2012.6273254 · Cited by 14 · see citing works

Accurate object distance estimation based on frequency‐domain analysis with a stereo camera

Yoo, I., & Seo, S. (2017) · IET Intelligent Transport Systems · doi:10.1049/iet-its.2016.0110 · Cited by 11 · see citing works

Enhancing stereo matching with varying illumination through histogram information and normalized cross correlation

Baydoun, M., & Al‐Alaoui, M. A. (2013) · International Conference on Systems, Signals and Image Processing · doi:10.1109/iwssip.2013.6623435 · Cited by 9 · see citing works

Measuring the Distance between the Two Vehicles Using Stereo Vision with Optical Axes Cross

Ashoori, M. E., & Mahlouji, M. (2017) · Modern Applied Science · doi:10.5539/mas.v12n1p165 · Cited by 7 · see citing works

The Triangulation of Toe-in Style Stereo Camera

Katada, K., Chen, S., & Zhang, L. (2014) · International Conference on Intelligent Systems and Image Processing (ICISIP) · doi:10.12792/icisip2014.007 · Cited by 6 · see citing works

SCG Backpropagation Based Prediction of Stressed EEG Spectrum

Upadhyay, P. K., & Nagpal, C. (2020) · Advances in Science and Engineering Technology International Conferences (ASET) · doi:10.1109/aset48392.2020.9118324 · Cited by 5 · see citing works

Vehicle Security Distance Control Based on Binocular Parallax Vision

Liu, S., Kong, X. J., & Shan, M. C. (2014) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.644-650.207 · Cited by 3 · see citing works

Deep learning in food category recognition

Zhang, Y., Deng, L., Zhu, H., Wang, W., Ren, Z., Zhou, Q., Lu, S., Sun, S., Zhu, Z., Górriz, J. M., et al. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.101859 · Cited by 393 · see citing works

Sensor-Based Prognostic Health Management of Advanced Driver Assistance System for Autonomous Vehicles: A Recent Survey

Raouf, I., Khan, A., Khalid, S., Sohail, M., Azad, M. M., & Kim, H. S. (2022) · Mathematics · doi:10.3390/math10183233 · Cited by 41 · see citing works

Real-Time Monocular Depth Estimation Merging Vision Transformers on Edge Devices for AIoT

Liu, X., Wei, W., Liu, C., Peng, Y., Huang, J., & Li, J. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3264039 · Cited by 16 · see citing works

A semi-supervised mixture model of visual language multitask for vehicle recognition

Liu, W., Zhang, S., Zhou, L. M., Luo, N., & Xu, M. (2024) · Applied Soft Computing · doi:10.1016/j.asoc.2024.111619 · Cited by 11 · see citing works

RBCKF-Based Vehicle State Estimation by Adaptive Weighted Fusion Strategy Considering Composite-State Tire Model

Chen, X., & Cheng, X. (2024) · World Electric Vehicle Journal · doi:10.3390/wevj15110517 · Cited by 7 · see citing works

Machine-learning-based ensemble regression for vehicle-to-vehicle distance estimation using a toe-in style stereo camera

Duran, O., Turan, B., & Kaya, M. (2024) · Measurement · doi:10.1016/j.measurement.2024.115540 · Cited by 6 · see citing works

Multiple-model-based adaptive state fusion estimation of IWMD-EV using SSUKF

Dou, G., Li, Z., Xu, X., & Chen, T. (2024) · Physica Scripta · doi:10.1088/1402-4896/ad9d8d · Cited by 4 · see citing works

Precise distance measurement with stereo camera: experimental results

Yanık, H., & Turan, B. (2025) · PeerJ Computer Science · doi:10.7717/peerj-cs.3057 · Cited by 4 · see citing works

Modularized and hierarchical state estimation strategy of 4WIDEV based on global-local dynamics model decoupling

Chen, T., Zhang, Z., Xu, X., Cai, Y., Chen, L., & Dou, G. (2025) · ISA Transactions · doi:10.1016/j.isatra.2025.07.026 · Cited by 3 · see citing works

Mapping top-two-floor corner coordinates to building strains in deep latent space

Park, J. S., Jang, S. K., Hong, T., Lee, D., & Park, H. S. (2023) · Journal of Building Engineering · doi:10.1016/j.jobe.2023.108279 · Cited by 2 · see citing works

Cascaded Vehicle State Estimation Method of 4WIDEVs Considering System Delay and Noise

Yang, Z., Liu, X., & Xia, Q. (2024) · World Electric Vehicle Journal · doi:10.3390/wevj15100454 · Cited by 2 · see citing works

Flexible 3-D Measurement With Double Homocentric Spherical Feature

Xu, G. L., Shen, H., & Chen, R. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3588949 · Cited by 1 · see citing works

Real-time estimation of the road adhesion coefficient under Non-Gaussian noise: An adaptive method based on cross-domain fusion of images and vehicle dynamics

Jin, Y., Li, Y., Zheng, L., He, B., Li, G., & Yang, X. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.130456 · Cited by 1 · see citing works

Research and application of artificial neural network prediction model in deep learning

Zheng, G., Zhang, H., & Yao, X. (2022) · International Symposium on Robotics, Artificial Intelligence and Information Engineering (RAIIE) · doi:10.1117/12.2659276 · Cited by 1 · see citing works

Real-Time Stereo Matching Networks Based on Multi-Modal and Sparse-Dense FusionPreprint

Zhang, X., Wu, X., & Liang, G. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4485388

A system for detecting objects and estimating their distance using a neural network

Salcedo, J., Ramos, N., Vinces, L., & Vargas, D. (2023) · IEEE International Conference on Electronics, Electrical Engineering and Computing (INTERCON) · doi:10.1109/intercon59652.2023.10326063

Enhancing Reliability of Advanced Driver-Assistance Systems through Predictive Maintenance and Data-Driven Insights

Jain, V. G. A. (2024) · Journal of Electrical Systems · doi:10.52783/jes.2061

Cascaded driving states estimation method of distributed drive electric vehicle based on PIO and STF algorithm

Xia, Q., Chen, T., & Ma, Q. (2025) · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · doi:10.1177/09544070251326006

Advancements in computer vision for safer overtaking: a review of deep learning methods

Panezai, P., Batool, H., Raza, D., & Qayyum, B. (2025) · Academia Engineering · doi:10.20935/acadeng7611

Enhancing Road Safety: Inter-Vehicle Distance Estimation Using Fine-Tuned YOLOv9

Frooq, M. H., Draz, H. U., Ahmad, A., & Khan, M. U. G. (2024) · International Conference on Innovative Computing (ICIC) · doi:10.1109/icic63915.2024.11116079

Real-time Stereo Matching Networks based on Multi-modal and Sparse-dense Fusion*

Zhang, X., & Wu, X. (2025) · IEEE International Conference on Real-time Computing and Robotics (RCAR) · doi:10.1109/rcar65431.2025.11139590

Stereo Vision Based Vehicle Detection and Distance Estimation for Braking Anomaly Detection

Rahmat, M. A., Indrabayu, I., Nurdin, A. A., Arifuddin, N. A., & Lukman, A. I. M. (2025) · International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) · doi:10.1109/icimcis68501.2025.11327368

Accuracy Requirements for the Road Friction Coefficient Estimation of a Friction-Adaptive Automatic Emergency Braking System as a Software Solution for Integrated Chassis Control Systems

Ahrenhold, T., Wielitzka, M., Binnewies, T., & Henze, R. (2026) · SAE International journal of vehicle dynamics, stability, and NVH · doi:10.4271/10-10-02-0016

Integrating 4D Millimeter-Wave Radar with YOLOv5-Monster for Distance Measurement

Li, F., Xie, Y., Su, H., Liu, D., & Wu, Q. (2026) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2026-99-0853

Vehicle Pose Measurement with a Single Image via the Double-Dual-Ellipse Feature of Wheel Rims

Guan, X., Wang, R., & Lin, H. (2026) · Sensors · doi:10.3390/s26185880

Distance Estimation of Preceding Vehicle Based on Mono Vision Camera and Artificial Neural Networks

Karthika, K., Adarsh, S., & Ramachandran, K. I. (2020) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt49239.2020.9225406 · Cited by 25 · see citing works

Machine-learning-based ensemble regression for vehicle-to-vehicle distance estimation using a toe-in style stereo camera

Duran, O., Turan, B., & Kaya, M. (2024) · Measurement · doi:10.1016/j.measurement.2024.115540 · Cited by 6 · see citing works

Measuring the Distance between the Two Vehicles Using Stereo Vision with Optical Axes Cross

Ashoori, M. E., & Mahlouji, M. (2017) · Modern Applied Science · doi:10.5539/mas.v12n1p165 · Cited by 7 · see citing works

Distance Detection between Vehicles Using Stereo Vision

Yang, S.-J., & Baek, J.-H. (2002) · The Journal of Advanced Navigation Technology

Accurate object distance estimation based on frequency‐domain analysis with a stereo camera

Yoo, I., & Seo, S. (2017) · IET Intelligent Transport Systems · doi:10.1049/iet-its.2016.0110 · Cited by 11 · see citing works