This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …

Automated driving systems (ADSs) promise a safe, comfortable and efficient driving
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …

Object detection, as of one the most fundamental and challenging problems in computer
vision, has received great attention in recent years. Over the past two decades, we have …

Object detection, one of the most fundamental and challenging problems in computer vision,
seeks to locate object instances from a large number of predefined categories in natural …

Hyperparameter optimization (HPO) is a necessary step to ensure the best possible
performance of Machine Learning (ML) algorithms. Several methods have been developed …

Object detection in optical remote sensing images, being a fundamental but challenging
problem in the field of aerial and satellite image analysis, plays an important role for a wide …

In this essay, I begin by identifying the reasons that automation has not wiped out a majority
of jobs over the decades and centuries. Automation does indeed substitute for labor—as it is …

The new era of cognitive computing brings forth the grand challenge of develo** systems
capable of processing massive amounts of noisy multisensory data. This type of intelligent …

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 …

The prevalence of WiFi devices and ubiquitous coverage of WiFi networks provide us the
opportunity to extend WiFi capabilities beyond communication, particularly in sensing the …