Vehicle-related distance estimation using customized YOLOv7

X Liu, WQ Yan - International Conference on Image and Vision …, 2022 - Springer
With the popularity of autonomous driving, the development of ADAS (Advanced Driver
Assistance Systems), especially collision avoidance systems, has become an important …

Vision-based vehicle detection and distance estimation

D Qiao, F Zulkernine - 2020 IEEE Symposium Series on …, 2020 - ieeexplore.ieee.org
Real-time vehicle detection is one of the most important topics under the Autonomous
Vehicles (AVs) research paradigm and traffic surveillance. Detecting vehicles and estimating …

[HTML][HTML] Supervised object-specific distance estimation from monocular images for autonomous driving

Y Davydov, WH Chen, YC Lin - Sensors, 2022 - mdpi.com
Accurate distance estimation is a requirement for advanced driver assistance systems
(ADAS) to provide drivers with safety-related functions such as adaptive cruise control and …

Deep learning-based trajectory estimation of vehicles in crowded and crossroad scenarios

A Siddique, I Afanasyev - 2021 28th Conference of Open …, 2021 - ieeexplore.ieee.org
The rapid developments in the field of Artificial Intelligence are bringing enhancements in
the area of intelligent transport systems by overcoming the challenges of safety concerns …

[PDF][PDF] Real time vehicle detection, tracking, and inter-vehicle distance estimation based on stereovision and deep learning using YOLOv3

O Bourja, H Derrouz, HA Abdelali, A Maach… - International Journal of …, 2021 - academia.edu
In this paper, we propose a robust real-time vehicle tracking and inter-vehicle distance
estimation algorithm based on stereovision. Traffic images are captured by a stereoscopic …

Refining yolov4 for vehicle detection

P Mahto, P Garg, P Seth, J Panda - International Journal of …, 2020 - papers.ssrn.com
Real-time vehicle detection is a technology employed in applications like selfdriving cars,
traffic camera surveillance. Every year we see better and updated stateof-the-art (SOTA) …

Image-based sense and avoid of small scale UAV using deep learning approach

ZY Huang, YC Lai - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Distance detection of target object is an important information for obstacle avoidance in
many fields, such as autonomous car. When the distance of the obstacle is calculated, one …

[HTML][HTML] Machine vision-based autonomous road hazard avoidance system for self-driving vehicles

C Qiu, H Tang, Y Yang, X Wan, X Xu, S Lin, Z Lin… - Scientific Reports, 2024 - nature.com
The resolution of traffic congestion and personal safety issues holds paramount importance
for human's life. The ability of an autonomous driving system to navigate complex road …

Distance estimation of preceding vehicle based on mono vision camera and artificial neural networks

K Karthika, S Adarsh… - 2020 11th International …, 2020 - ieeexplore.ieee.org
Most of the research in automotive literature has been focused on the object detection task
because of which distance estimation between vehicles has gained less attention in the …

Towards outdoor navigation system for visually impaired people using YOLOv5

S Chandna, A Singhal - … on Cloud Computing, Data Science & …, 2022 - ieeexplore.ieee.org
Navigation is one of the many difficulties the Blind and Visually Impaired (BVI) face, be it
indoor or outdoor. BVI people use their remaining senses such as smell, touch, and memory …