Object detection can be regarded as one of the most fundamental and challenging visual
recognition task in computer vision and it has received great attention over the past few …

Many companies aim for delivering systems for autonomous driving reaching out for SAE
Level 5. As these systems run much more complex software than typical premium cars of …

The last decade witnessed increasingly rapid progress in self‐driving vehicle technology,
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …

Object detection is one of the most important and challenging branches of computer vision,
which has been widely applied in people's life, such as monitoring security, autonomous …

Autonomous driving systems have witnessed significant development during the past years
thanks to the advance in machine learning-enabled sensing and decision-making …

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 …

Pedestrian detection has achieved significant progress with the availability of existing
benchmark datasets. However, there is a gap in the diversity and density between real world …

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

Object detection-the computer vision task dealing with detecting instances of objects of a
certain class (eg,'car','plane', etc.) in images-attracted a lot of attention from the community …

Anticipating future situations from streaming sensor data is a key perception challenge for
mobile robotics and automated vehicles. We address the problem of predicting the path of …