Vehicle and pedestrian detection is one of the critical tasks in autonomous driving. Since
heterogeneous techniques have been proposed, the selection of a detection system with an …

Big data has had a great share in the success of deep learning in computer vision. Recent
works suggest that there is significant further potential to increase object detection …

Big data has had a great share in the success of deep learning in computer vision. Recent
works suggest that there is significant further potential to increase object detection …

Object detection, one of the most fundamental and challenging problems in computer vision.
Nowadays some dedicated embedded systems have emerged as a powerful strategy for …

Pedestrian detection from a drone-based images has many potential applications such as
searching for missing persons, surveillance of illegal immigrants, and monitoring of critical …

With the widespread application of deep learning methodologies, many fields including
Intelligent Transportation Systems (ITS) have integrated neural network-based models. In …

Pedestrian detection is a specific application of object detection. Compared with general
object detection, it shows similarities and unique characteristics. In addition, it has important …

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 …

Object detection is a computer vision task that has become an integral part of many
consumer applications today such as surveillance and security systems, mobile text …

Autonomous driving requires reliable and accurate detection and recognition of surrounding
objects in real drivable environments. Although different object detection algorithms have …