Given a single image of an arbitrary road, that may not be well-paved, or have clearly
delineated edges, or some a priori known color or texture distribution, is it possible for a …

Road scene segmentation is important in computer vision for different applications such as
autonomous driving and pedestrian detection. Recovering the 3D structure of road scenes …

Given a single image of an arbitrary road, that may not be well-paved, or have clearly
delineated edges, or some a priori known color or texture distribution, is it possible for a …

We present TerraPN, a novel method that learns the surface properties (traction, bumpiness,
deformability, etc.) of complex outdoor terrains directly from robot-terrain interactions through …

A service robot can provide a smoother interaction experience if it has the ability to
proactively detect whether a nearby user intends to interact, in order to adapt its behavior eg …

We present a literature review to analyze the state of the art in the area of road detection
based upon frontal images. For this purpose, a systematic literature review (SLR) was …

Background We demonstrate the first self-learning, context-sensitive, autonomous camera-
guiding robot applicable to minimally invasive surgery. The majority of surgical robots …

Perceiving the environment is crucial in any application related to mobile robotics research.
In this paper, a new approach to real-time human detection through processing video …

Vehicle speed measurement (VSM) based on video images represents the development
direction of speed measurement in the intelligent transportation systems (ITS). This paper …

We propose a framework for road-vanishing-point detection based on a new generalized
Laplacian of Gaussian (gLoG) filter. In the first part, the gLoG filter can be applied to estimate …