As autonomous vehicles become more common on the roads, their advancement draws on
safety concerns for vulnerable road users, such as pedestrians and cyclists. This paper …

A self-driving car, to be deployed in real-world driving environments, must be capable of
reliably detecting and effectively tracking of nearby moving objects. This paper presents our …

Despite all the significant advances in pedestrian detection brought by computer vision for
driving assistance, it is still a challenging problem. One reason is the extremely varying …

Despite the promising progress made in recent years, person re-identification remains a
challenging task due to complex variations in human appearances from different camera …

The problem of human detection is to automatically locate people in an image or video
sequence and has been actively researched in the past decade. This paper aims to provide …

Despite the promising progress made in recent years, person reidentification (re-ID) remains
a challenging task due to the complex variations in human appearances from different …

We present a real-time RGB-D based multiperson detection and tracking system suitable for
mobile robots and head-worn cameras. Our approach combines RGB-D visual odometry …

Multispectral images consisting of aligned visual-optical (VIS) and thermal infrared (IR)
image pairs are well-suited for practical applications like autonomous driving or visual …

Interruptions while driving can be quite dangerous, whether these are self-interruptions or
external interruptions. They increase driver workload and reduce performance on the …

The existing ultrasonic obstacle avoidance robot only uses an ultrasonic sensor in the
process of obstacle avoidance, which can only be avoided according to the fixed obstacle …