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Road traffic crashes have been the leading cause of death among young people. Most of these accidents occur when the driver becomes distracted due to fatigue or external factors. Vehicle platooning systems, as cooperative adaptive cruise control, are one of the results of efforts devoted to the development of technologies for decreasing the number of road crashes and fatalities. Previous studies have...
This article proposes a system that fuses radar and monocular vision sensor data in order to detect and classify on-road obstacles, like cars or not cars (other obstacles). The obstacle detection process and classification is divided into three stages, the first consist in reading radar signals and capturing the camera data, the second stage is the data fusion, and the third step is the classify the...
This paper presents a lateral controller developed for autonomous heavy ground vehicles. This controller is responsible for regulating the direction of the steering wheel, and consequently, the frontal tires. It is also presented a brief introduction to works related to autonomous vehicles control, and an approach to obtain the kinematic model for this class of vehicles. The lateral control is designed...
Tracking can be defined as the problem of estimating the trajectory of an object in image sequence as it moves around a scene. In other words, a tracker assigns consistent labels to the tracked objects in different frames of a video. One of the most widely used technique to this task is the Kalman filter. This paper presents a car tracker using Kalman filter and optical flow, which shows excellent...
Electronic Stability Control (ESC) reduced the number of fatal crashes in single vehicle accidents in 32%, a ESC unit corrects the vehicle yaw rate avoiding under-steering or over-steering in relation to the drives intent. In recent years Steer-by-Wire systems have been proposed for driver assistance systems, this allows the development of controllers capable of predicting and avoiding exceeding saturation...
Cooperative driving systems are a possible solution to improve traffic efficiency, road safety and even reduce the emission of pollutants, but there are several problems relating to aspects of safety, cost, duration and feasibility that slow down the development and experiments. In this context, simulation tools are essential to help researchers on this development. The goal of this paper is to present...
Road accidents is one of the major cause of deaths worldwide. Traffic is also one of the main problems in large cities. The development of intelligent transportation systems may contribute to the solution of both problems. Autonomous vehicles have been addressed by the academic community for decades and recently have been obtaining a considerable attention from the industry. One of the next steps...
Road traffic crashes are the leading cause of death among young people between 10 and 24 years old. Several safety systems for near the limits of handling scenarios such as Electronic Stability Control (ESC) and Active Front Steering (AFS) have been introduced in the past recent years. Vehicle stability in limit situations is extremely important to current driver assistance systems (DAS) and a safe...
In field of autonomous and intelligent vehicles, the goal of pedestrian classification is to reduce amount of accidents. The object classification accuracy depends on the type of classifier and the extracted object features used for classification. Support Vector Machines (SVM), is considered the most effective classifier for this task. However, it depends on a number of factors that require researchers...
Robust and stable control is a requirement for navigation of self-driving cars. Some approaches in the literature depend on a high number of parameters that are often difficult to estimate. A poor selection of these parameters often reduces considerably the efficiency of the control algorithms. In this paper we propose a simplified control system for autonomous vehicles that depends on a reduced number...
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