Deep learning-based pedestrian detection in autonomous vehicles: Substantial issues and challenges
In recent years, autonomous vehicles have become more and more popular due to their
broad influence over society, as they increase passenger safety and convenience, lower fuel …
broad influence over society, as they increase passenger safety and convenience, lower fuel …
A survey on ground segmentation methods for automotive LiDAR sensors
In the near future, autonomous vehicles with full self-driving features will populate our public
roads. However, fully autonomous cars will require robust perception systems to safely …
roads. However, fully autonomous cars will require robust perception systems to safely …
From handcrafted to deep features for pedestrian detection: A survey
Pedestrian detection is an important but challenging problem in computer vision, especially
in human-centric tasks. Over the past decade, significant improvement has been witnessed …
in human-centric tasks. Over the past decade, significant improvement has been witnessed …
[HTML][HTML] Pedestrian and vehicle behaviour prediction in autonomous vehicle system—A review
LG Galvão, MN Huda - Expert Systems with Applications, 2024 - Elsevier
Autonomous vehicles (AV) s have become a trending topic nowadays since they have the
potential to solve traffic problems, such as accidents and congestion. Although AV systems …
potential to solve traffic problems, such as accidents and congestion. Although AV systems …
Pedestrian and vehicle detection in autonomous vehicle perception systems—A review
Autonomous Vehicles (AVs) have the potential to solve many traffic problems, such as
accidents, congestion and pollution. However, there are still challenges to overcome, for …
accidents, congestion and pollution. However, there are still challenges to overcome, for …
Occlusion handling and multi-scale pedestrian detection based on deep learning: A review
F Li, X Li, Q Liu, Z Li - IEEE Access, 2022 - ieeexplore.ieee.org
Pedestrian detection is an important branch of computer vision, and has important
applications in the fields of autonomous driving, artificial intelligence and video surveillance …
applications in the fields of autonomous driving, artificial intelligence and video surveillance …
A novel approach for model-based pedestrian tracking using automotive radar
P Held, D Steinhauser, A Koch… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Pedestrians represent acutely complex and agile targets whose accident prevention has the
highest priority concerning highly automated vehicles in urban traffic. Consequently …
highest priority concerning highly automated vehicles in urban traffic. Consequently …
Multi-expert learning for fusion of pedestrian detection bounding box
Performance of pedestrian detection, which is one of the essential tasks in automatic drive,
relies heavily on a large number of labels. Some researchers proposed unsupervised …
relies heavily on a large number of labels. Some researchers proposed unsupervised …
Object detection in autonomous vehicles under adverse weather: a review of traditional and deep learning approaches
Enhancing the environmental perception of autonomous vehicles (AVs) in intelligent
transportation systems requires computer vision technology to be effective in detecting …
transportation systems requires computer vision technology to be effective in detecting …
Embedded night-vision system for pedestrian detection
Assistive vision-based solutions for the driver extend the capabilities of human vision and
support safe travel. Unfortunately, their widespread usage is generally limited to expensive …
support safe travel. Unfortunately, their widespread usage is generally limited to expensive …