Stop & Go Controller for Adaptive Cruise Control
01 Jan 1998-
About: The article was published on 1998-01-01 and is currently open access. It has received 20 citations till now. The article focuses on the topics: Control theory & Cruise control.
Citations
More filters
TL;DR: A novel reference model-based control approach for automotive longitudinal control is proposed that is nonlinear and provides dynamic solutions consistent with safety constraints and comfort specifications.
Abstract: In this paper, we propose a novel reference model-based control approach for automotive longitudinal control. The reference model is nonlinear and provides dynamic solutions consistent with safety constraints and comfort specifications. The model is based on physical laws of compliant contact and has the particularity that its solutions can be explicitly described by integral curves. This allows to characterize the set of initial condition for which the constraints can be met. This model is combined with a simple feedback loop used to compensate unmodeled dynamics and external disturbances. Model simulations together with experimental results are also presented
266 citations
Cites background from "Stop & Go Controller for Adaptive C..."
...For example, [6] presents an ACC system for lowspeed motion, where the desired acceleration was obtained from...
[...]
TL;DR: An ACC controller based on fuzzy logic is presented, which assists the speed and distance vehicle control, offering driving strategies and actuation over the throttle of a car, embedded in an automatic driving system installed in two testbed mass-produced cars.
Abstract: There is a broad range of diverse technologies under the generic topic of intelligent transportation systems (ITS) that holds the answer to many of the transportation problems. In this paper, one approach to ITS is presented. One of the most important research topics in this field is adaptive cruise control (ACC). The main features of this kind of controller are the adaptation of the speed of the car to a predefined one and the keeping of a safe gap between the controlled car and the preceding vehicle on the road. We present an ACC controller based on fuzzy logic, which assists the speed and distance vehicle control, offering driving strategies and actuation over the throttle of a car. The driving information is supplied by the car tachometer and a RTK differential GPS, and the actuation over the car is made through an electronic interface that simulates the electrical signal of the accelerator pedal directly to the onboard computer. This control is embedded in an automatic driving system installed in two testbed mass-produced cars instrumented for testing the work of these controllers in a real environment. The results obtained in these experiments show a very good performance of the gap controller, which is adaptable to all the speeds and safe gap selections.
205 citations
Cites background from "Stop & Go Controller for Adaptive C..."
...allows queues to discharge faster from bottlenecks [3], [21], [22]....
[...]
TL;DR: In this article, the authors present a systematic approach for the design of a parameterized adaptive cruise control (ACC) system based on explicit model predictive control, which makes it easy and intuitive to tune, even for the driver.
118 citations
Cites methods from "Stop & Go Controller for Adaptive C..."
...the control input u(k), is employed (Persson et al., 1999), or ACC functionality is employed if braking is required and CC otherwise (Zhang & Ioannou, 2004)....
[...]
...Either the functionality yielding the lowest acceleration, i.e. the control input u(k), is employed (Persson et al., 1999), or ACC functionality is employed if braking is required and CC otherwise (Zhang & Ioannou, 2004)....
[...]
20 Aug 2006
TL;DR: The experimental results show that intelligent vehicle control based on driver fatigue detection will be availability in traffic and a new real time eye tracking method based on unscented Kalman filter is proposed.
Abstract: Driver fatigue problem is one of the important factors that cause traffic accidents. Therefore the vision-based driver fatigue detection is the most prospective commercial applications of HCI. However, it is a challenging issue due to a variety of factors such as head and eyes moving fast, external illuminations interference and realistic lighting conditions, etc. This tends to significantly limit its scope of application. In this paper, we present an intelligent vehicle control based on driver fatigue detection. Firstly, the face is located using Haar algorithm and eye location is found with projection technique. After finding eye templates, we propose a new real time eye tracking method based on Unscented Kalman Filter. Thirdly, driver fatigue can be detected whether the eyes are closed over 5 consecutive frames using vertical projection matching. Finally, if driver fatigue is confirmed, the vehicle Cruise Control is start-up with slow speed, and maintains set slow speed such as 5 km/h. The experimental results show that intelligent vehicle control based on driver fatigue detection will be availability in traffic.
71 citations
Cites background from "Stop & Go Controller for Adaptive C..."
...After driver fatigue is confirmed, the intelligent vehicle cruise control is start-up [8]....
[...]
22 Aug 1999
TL;DR: In this article, an adaptive cruise control (ACC) system that is capable of car following in low speed situations, e.g. in suburban areas, as well as in high speed situations is presented.
Abstract: In the field of vehicle control, conventional cruise control systems have been available on the market for many years. During the last years, modern cars include more and more electronic systems. These systems are often governed by a computer or a network of computers programmed with powerful software. One of those new services is adaptive cruise control (ACC) (or autonomous intelligent cruise control, AICC), which extends the conventional cruise control system to include automated car following when the preceding car is driving at a lower speed than the desired set-speed. The focus of ACC has mainly been directed towards high-speed highway application, but to improve the comfort to the driver also low-speed situations must be considered. The paper presents an ACC system that is capable of car following in low-speed situations, e.g. in suburban areas, as well as in high-speed situations. The system is implemented in a test car and the result is evaluated.
69 citations