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 …

Humps and potholes are the foremost reasons for road accidents. It should be detected and
informed to the other vehicle that is going to pass in that location leads to reduce accidents …

One of the ways to reduce road accident is to identify the humps and potholes present in the
path. In this paper, an internet of things based road monitoring system (IoT-RMS) is …

In this article, we present a robust real-time road surface and semantic lane marker
estimation algorithm using the deconvolution neural network and extra trees-based decision …

This paper is an overview of the development and application of Computer Vision for the
detection of pothole, pavement distress and road profile analysis and categorisation. A brief …

As a core step of obstacle avoidance and path planning, dynamic obstacle detection is
critical for autonomous driving. This study aimed to propose a dynamic obstacle detection …

This paper presents a road reconstruction algorithm based on two-view geometry. A general
geometric model for both planar and nonplanar scenes is proposed with respect to a …

Usually, the detection process of traffic objects, such as vehicles, finds the visual input lacks
the necessary depth information, so it is difficult to directly and quickly obtain the results …

In order to solve the problems of traffic object detection, fuzzification, and simplification in
real traffic environment, an automatic detection and classification algorithm for roads …

Road surface profile (RSP) estimation is an important task to find the imperfections of a road
surface, thereby improving ride quality. The RSP estimation has been recently studied using …