Pedestrian detection using multispectral images and a deep neural network

J Nataprawira, Y Gu, I Goncharenko, S Kamijo - Sensors, 2021 - mdpi.com
Pedestrian fatalities and injuries most likely occur in vehicle-pedestrian crashes. Meanwhile,
engineers have tried to reduce the problems by developing a pedestrian detection function …

Region NMS-based deep network for gigapixel level pedestrian detection with two-step cropping

L Li, X Guo, Y Wang, J Ma, L Jiao, F Liu, X Liu - Neurocomputing, 2022 - Elsevier
Pedestrian detection has emerged as a fundamental technology for autonomous cars,
robotics, pedestrian search, and other applications. Although a lot of progress has been …

Intelligent algorithms for incident detection and management in smart transportation systems

H Yijing, W Wei, Y He, W Qihong, X Kaiming - Computers and Electrical …, 2023 - Elsevier
Prior research on traffic event detection has encountered two problems: limited sample
numbers and unbalanced datasets. Moreover, the real-time properties of event detection …

Detection of panoramic vision pedestrian based on deep learning

W Wang - Image and Vision Computing, 2020 - Elsevier
As the AI (artificial intelligence) develops, driverless vehicle technology is widely concerned,
and the important problem that needs to be solved in driverless technology is the detection …

Deep learning-based modeling of pedestrian perception and decision-making in refuge island for autonomous driving

BB Elallid, SE Hamdani, N Benamar… - … Intelligence in Recent …, 2022 - Springer
Pedestrian is the main Vulnerable Road User (VRU) that needs further support when
designing enhanced Intelligent Transportation Systems (ITSs). The pedestrian's perception …

Loltv: A low light two-wheeler violation dataset with anomaly detection technique

S Bose, MH Kolekar, S Nawale, D Khut - IEEE Access, 2023 - ieeexplore.ieee.org
Detecting traffic violations is essential for improving road safety, ensuring rule compliance,
and maintaining smooth traffic flow. It also aids in holding violators accountable and …

An intelligent traffic detection approach for vehicles on highway using pattern recognition and deep learning

M Jin, C Sun, Y Hu - Soft Computing, 2023 - Springer
Intelligent transportation system (ITS) is widely employed in dynamic traffic management to
alleviate roadside congestion and increase traffic efficiency for solving the increasingly …

Pedestrian visual positioning algorithm for underground roadway based on deep learning

J Han, J YUAN, X WEI, Y LU - Journal of Computer Applications, 2019 - joca.cn
The self-driving mine locomotive needs to detect and locate pedestrians in front of it in the
underground roadway in real-time. Non-visual methods such as laser radar are costly, while …

[HTML][HTML] Modeling of real time traffic flow monitoring system using deep learning and unmanned aerial vehicles

S Upadhye, S Neelakandan… - Journal of Mobile …, 2023 - journals.riverpublishers.com
Recently, intelligent video surveillance technologies using unmanned aerial vehicles
(UAVs) have been considerably increased in the transportation sector. Real time collection …

Traffic warning system for wildlife road crossing accidents using artificial intelligence

ID Uwanuakwa, UG Isienyi, J Bush Idoko… - … on transportation and …, 2020 - ascelibrary.org
Wildlife-vehicle collision (WVC) is a major problem associated with regions with high-density
wildlife. Urban designers have in the past introduce overpasses, underpasses fence …