journal article·2023Open access

Traffic Sign Detection with Low Complexity for Intelligent Vehicles Based on Hybrid Features

Sara Khalid, Jamal Hussain Shah, Muhammad Sharif, Muhammad Rafiq, Gyu Sang Choi

Computers, Materials & Continua· Volume 76· Issue 1

Abstract

Globally traffic signs are used by all countries for healthier traffic flow and to protect drivers and pedestrians. Consequently, traffic signs have been of great importance for every civilized country, which makes research... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Vehicle License Plate Recognition · Hand Gesture Recognition Systems · Advanced Measurement and Detection Methods

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (69)

Show source-provided references
1. Decision tree method to analyze the performance of lane support systems10.3390/su13020846 ↗
2. Towards fully autonomous driving: Systems and algorithms
3. UnityShip: A large-scale synthetic dataset for ship recognition in aerial images10.3390/rs13244999 ↗
4. Real-time traffic sign recognition in three stages10.1016/j.robot.2012.07.019 ↗
5. Novel approach to automatic traffic sign inventory based on mobile mapping system data and deep learning10.3390/rs12030442 ↗
6. Traffic sign recognition and analysis for intelligent vehicles10.1016/S0262-8856(02)00156-7 ↗
7. Analysing the main and interaction effects of commercial vehicle mix and roadway attributes on crash rates using a Bayesian random-parameter Tobit model10.1016/j.aap.2021.106089 ↗
8. Colonial fragility: British embarrassment and the so-called migrated archives
9. Hardware efficient modified CNN architecture for traffic sign detection and recognition10.1142/S0219467822500176 ↗
10. On circular traffic sign detection and recognition10.1016/j.eswa.2015.11.018 ↗
11. Road sign detection and recognition using matching pursuit method10.1016/S0262-8856(00)00050-0 ↗
12. Vision-based traffic sign detection and recognition systems: Current trends and challenges10.3390/s19092093 ↗
13. Machine vision based traffic sign detection methods: Review, analyses and perspectives10.1109/ACCESS.2019.2924947 ↗
14. Vision-based traffic sign detection and analysis for intelligent driver assistance systems: Perspectives and survey10.1109/TITS.2012.2209421 ↗
15. Traffic sign detection and recognition using adaptive threshold segmentation with fuzzy neural network classification
16. Fast traffic sign recognition via high-contrast region extraction and extended sparse representation
17. Traffic sign recognition using deep convolutional networks and extreme learning machine
18. RGB color based Myanmar traffic sign recognition system from real-time video
19. Traffic road sign detection and recognition in natural environment using RGB color model
20. Traffic sign detection via graph-based ranking and segmentation algorithms10.1109/TSMC.2015.2427771 ↗
21. Traffic sign detection and recognition based on random forests10.1016/j.asoc.2015.12.041 ↗
22. Image segmentation and shape analysis for road-sign detection10.1109/TITS.2010.2073466 ↗
23. A novel lightweight real-time traffic sign detection integration framework based on YOLOv4
24. Bangladeshi road sign detection based on YCbCr color model and DtBs vector
25. Speed limit sign detection based on Gaussian color model and template matching
26. Ecuadorian regulatory traffic sign detection by using HOG features and ELM classifier10.1109/TLA.2021.9448546 ↗
27. Traffic sign recognition using histogram of oriented gradients and convolutional neural networks
28. Traffic sign detection and recognition model using support vector machine and histogram of oriented gradient10.5815/ijitcs.2021.03.05 ↗
29. Application of soft histogram of oriented gradient on traffic sign detection
30. Robust traffic sign recognition based on color global and local oriented edge magnitude patterns10.1109/TITS.2014.2298912 ↗
31. Traffic sign recognition using group sparse coding10.1016/j.ins.2014.01.010 ↗
32. Traffic sign recognition using surf: Speeded up robust feature descriptor and artificial neural network classifier
33. Traffic sign detection and recognition using fuzzy segmentation approach and artificial neural network classifier respectively
34. Online boosting for vehicle detection10.1109/TSMCB.2009.2032527 ↗
35. Multi-view traffic sign detection, recognition, and 3D localisation10.1007/s00138-011-0391-3 ↗
36. Design of a visual perception model with edge-adaptive Gabor filter and support vector machine for traffic sign detection10.1016/j.eswa.2012.12.072 ↗
37. Real-time traffic sign detection and recognition method based on simplified Gabor wavelets and CNNs
38. Traffic sign recognition and retrieval using limited dataset in the wild
39. Traffic sign detection and classification using colour feature and neural network
40. Traffic sign detection by ROI extraction and histogram features-based recognition
41. Traffic sign recognition using multi-layer color texture and shape feature based on neural network classifier10.1007/978-981-33-4687-1_46 ↗
42. Local texture patterns for traffic sign recognition using higher order spectra10.1016/j.patrec.2017.02.016 ↗
43. An efficient method for traffic sign recognition based on extreme learning machine
44. A new sparse model for traffic sign classification using soft histogram of oriented gradients10.1016/j.asoc.2016.12.037 ↗
45. A novel traffic sign detection method via color segmentation and robust shape matching10.1016/j.neucom.2014.12.111 ↗
46. Distinctive image features from scale-invariant keypoints10.1023/B:VISI.0000029664.99615.94 ↗
47. Real-time traffic sign detection algorithm based on dynamic threshold segmentation and SVM
48. Indonesian traffic sign detection and recognition using color and texture feature extraction and SVM classifier
49. Detection and recognition of traffic signs from road scene images
50. Automatic traffic sign detection and classification of Indian traffic signage’s based on multi-feature fusion10.1007/978-981-15-3125-5_23 ↗
51. Speed sign recognition using sequential cascade AdaBoost classifier with color features10.33851/JMIS.2019.6.4.185 ↗
52. Traffic sign detection based on Haar and AdaBoost classifier
53. Transfer learning based hybrid 2D-3D CNN for traffic sign recognition and semantic road detection applied in advanced driver assistance systems10.1007/s10489-020-01801-5 ↗
54. A real-time traffic sign detection model based on improved Yolov3
55. Fast traffic sign recognition with a rotation invariant binary pattern based feature
56. Group multi-scale attention pyramid network for traffic sign detection10.1016/j.neucom.2021.04.083 ↗
57. Deep learning for 5G IoT systems10.1007/s13042-021-01382-w ↗
58. Facial landmark detection via attention-adaptive deep network10.1109/ACCESS.2019.2955156 ↗
59. Using reinforcement learning with partial vehicle detection for intelligent traffic signal control10.1109/TITS.2019.2958859 ↗
60. An efficient traffic sign recognition based on graph embedding features10.1007/s00521-017-3063-z ↗
61. Traffic sign detection and recognition using fully convolutional network guided proposals10.1016/j.neucom.2016.07.009 ↗
62. Traffic sign and drowsiness detection using open-cv
63. An efficient small traffic sign detection method based on yolov310.1007/s11265-020-01614-2 ↗
64. Sadanet: Integrating scale-aware and domain adaptive for traffic sign detection10.1109/ACCESS.2020.2989758 ↗
65. Traffic signs detection for real-world application of an advanced driving assisting system using deep learning10.1007/s11063-019-10115-8 ↗
66. TSingNet: Scale-aware and context-rich feature learning for traffic sign detection and recognition in the wild10.1016/j.neucom.2021.03.049 ↗
67. The dual-tree complex wavelet transform10.1109/MSP.2005.1550194 ↗
68. Fast non-local filtering applied to electron cryomicroscopy
69. Detection of traffic signs in real-world images: The German traffic sign detection benchmark