The widespread use of mobile devices and sensors has motivated data-driven applications
that can leverage the power of big data to benefit many aspects of our daily life, such as …

For autonomous driving, one of the major challenges is to predict pedestrian crossing
intention in ego-view. Pedestrian intention depends not only on their intrinsic goals but also …

Recent chronological breakthroughs in materials innovation, their fabrication, and structural
designs for disparate applications have paved transformational ways to subversively …

Predicting object motion behaviour is a challenging but crucial task for safe decision making
and path planning for autonomous vehicles. It is challenging in large part due to the …

Pedestrian detection and tracking are vital elements of today's surveillance systems, which
make daily life safe for humans. Thus, human detection and visualization have become …

Object tracking is an essential problem in computer vision that has been extensively
researched for decades. Tracking objects in thermal images is particularly difficult because …

In urban areas, pedestrians are the road users category that is the most exposed to road
accident fatalities. In this context, the present article proposes a totally new architecture …

Tracking algorithms with low computational complexity and reliable performance are
important in developing advanced driver assistance systems (DAS). This paper proposes a …

This study is focused on evaluating the real-timeperformance of thermal object detection for
smart and safe vehicular systems by deploying the trained networks on GPU & single-board …

In recent years, pedestrian and vehicle detection at night has become an important subject
of computer vision applications. Because the environment light is weak at night, the common …