Detecting the road area and ego-lane ahead of a vehicle is central to modern driver
assistance systems. While lane-detection on well-marked roads is already available in …

Visual surveillance of dynamic objects, particularly vehicles on the road, has been, over the
past decade, an active research topic in computer vision and intelligent transportation …

Road detection is one of the key challenges for autonomous vehicles. Two kinds of sensors
are commonly used for road detection: cameras and LIDARs. However, each of them suffers …

Road detection is a crucial task in autonomous navigation systems. It is responsible for
delimiting the road area and hence the free and valid space for maneuvers. In this paper, we …

In this paper, a gain-scheduling, robust, and shared controller is proposed to assist drivers in
tracking vehicle reference trajectory. In the controller, the driver steering parameters such as …

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 …

In this paper, we propose to fuse the LIDAR and monocular image in the framework of
conditional random field to detect the road robustly in challenging scenarios. LIDAR points …

This paper presents a control framework to address a typical vehicle-to-vehicle (V2V)
encountering scenario of lane exchanging with two vehicles traveling on contiguous lanes in …

Road detection is an important task in autonomous navigation systems. In this paper, we
propose a road detection framework induced by the inverse depth of LiDAR's point cloud …

Obstacle detection is a fundamental task for Advanced Driver Assistance Systems (ADAS)
and Self-driving cars. Several commercial systems like Adaptive Cruise Controls and …