The development of wireless sensor networks, such as researchers Advanced Driver
Assistance Systems (ADAS) requires the ability to analyze the road scene just like a human …

We present a novel approach to the detection of unknown objects in the context of
autonomous driving. The problem is formulated as anomaly detection, since we assume that …

Road detection from very high-resolution (VHR) remote sensing imagery is of great
importance in a broad array of applications. However, the most advanced deep learning …

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 …

This paper presents a field-programmable gate array (FPGA) design of a segmentation
algorithm based on convolutional neural network (CNN) that can process light detection and …

This study proposes an obstacle detection method that uses depth information to allow the
visually impaired to avoid obstacles when they move in an unfamiliar environment. The …

Road detection is one of the key issues of scene understanding for Advanced Driving
Assistance Systems (ADAS). Recent approaches has addressed this issue through the use …

We present a fast integrated approach for online segmentation of images for outdoor robots.
A compact color and texture descriptor has been developed to describe local color and …

The lack of trustworthy sensors makes development of Advanced Driver Assistance System
(ADAS) applications a tough task. It is necessary to develop intelligent systems by …

Occupancy grid map is a popular tool for representing the surrounding environments of
mobile robots/intelligent vehicles. Its applications can be dated back to the 1980s, when …