Object detection is one of the most fundamental and challenging tasks to locate objects in
images and videos. Over the past, it has gained much attention to do more research on …

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 …

Robust detection and tracking of objects is crucial for the deployment of autonomous vehicle
technology. Image based benchmark datasets have driven development in computer vision …

Dark environment becomes a challenge for computer vision algorithms owing to insufficient
photons and undesirable noises. Most of the existing studies tackle this by either targeting …

Object detection at night is a challenging problem due to the absence of night image
annotations. Despite several domain adaptation methods, achieving high-precision results …

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 …

Drone-based vehicle detection aims at detecting vehicle locations and categories in aerial
images. It empowers smart city traffic management and disaster relief. Researchers have …

With recent advances in learning algorithms and hardware development, autonomous cars
have shown promise when operating in structured environments under good driving …

Humans drive in a holistic fashion which entails, in particular, understanding dynamic road
events and their evolution. Injecting these capabilities in autonomous vehicles can thus take …

Accurately detecting and tracking pedestrians in 3D space is challenging due to large
variations in rotations, poses and scales. The situation becomes even worse for dense …