Discussion of a new adaptive speed control system incorporating the geometric characteristics of the roadway

In this article, a new real-time hardware architecture based on real time image processing and the use of a Particle Filter, as the fundamental element for tracking lines of a road, is presented. To this end a hardware system has been designed on an Altera Cyclone FPGA for processing the images obtained from a PAL video camera. This paper is part of a research line into on-board safety systems for vehicles, based on reconfigurable hardware systems that allow implementating low-cost high-reliability advanced driver assistance systems. The proposal outlined in this paper detects the lane lines by means of the combined use of probabilistic and deterministic techniques, in real time, with the necessary anticipation to deploy the Primary and Secondary Safety Interaction Systems, PSSIS, [4], on board the vehicle.

show abstract

“…In such a case, the algorithm is processed as indicated in (2). The procedure, if not the case, will be explained later.…”

Section: Hardware Architecturementioning

confidence: 99%

“…Given the experience of the Research Group in motor vehicle on-board safety systems [2], [4], [5], [6], and in design and implementation of hardware systems for real-time image processing, a new line of research has opened up. New systems which, arising from those already developed, allow prediction of potential situations of risk.…”

Section: Introductionmentioning

confidence: 99%

A new Real-Time Hardware Architecture for Road Line Tracking Using a Particle Filter

Alarcon

Salvador

Moreno

et al. 2006

IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics

Self Cite

View full text Add to dashboard Cite

show abstract

“…Extensive investigations have shown that over 90% of road accidents occur as a result of driver errors: losing control of vehicle, exceeding speed limits, leaving the road at the high speed, etc (Aparicio et al, 2005;Doumiati et al, 2011;Shino et al, 2014). Such accidents can be avoided by some vehicle control systems, especially active safety control system, such as adaptive cruise control (ACC), anti-lock braking systems (ABS), traction control (TC), electronic stability program (ESP), collision warning (CW), collision avoidance (CA) and four-wheel steering (4WS) (Rajamani, 2005;Jazar, 2008;Lian et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Cornering stiffness and sideslip angle estimation based on simplified lateral dynamic models for four-in-wheel-motor-driven electric vehicles with lateral tire force information

Lian

Zhao

et al. 2015

Int.J Automot. Technol.

View full text Add to dashboard Cite

The simplified lateral dynamic models of front and rear tires are proposed with lateral tire force information in this paper. The regression models of the recursive least squares (RLS) with forgetting factors and constraints are constructed based on simplified lateral dynamic models for estimating tire cornering stiffness. In addition, a nonlinear observer of sideslip angle is designed for four-in-wheel-motor-driven electric vehicles (FIWMD-EVs) with the estimated information on tire cornering stiffness. Sideslip angle can be estimated through a first-order Stirling's interpolation filter (DD1-filter) and a firstorder low-pass filter. The reliability, feasibility, effectiveness, and practicality of simplified lateral dynamic models are verified by contrast simulation experiments. The simplified lateral dynamic models of front and rear tires are not influenced on the change of sideslip angle, nor influenced by each other. Moreover, it can result in improving computation speed that computational burden is reduced after simplifying lateral dynamic models. With the estimated information above mentioned, sideslip angle is also estimated well. The estimated information on tire cornering stiffness and sideslip angle is benefit to the design of lateral stability control system, which can make vehicle adapt to different road conditions and control the steering motion attitude of vehicle in future works.

show abstract

“…Among the reasons that lead to this result, we must highlight the driver's errors (see Aparicio (2005)) -that are commonly traduced in the form of an inappropriate adoption of a speed. This mistaken adoption is generally due to visibility problems and sharp roadway curves that have an inadequate signing policy or even no warning at all.…”

Section: Introductionmentioning

confidence: 99%

Vehicle Dynamics Prediction Based on State Observers Entries Anticipation

Cunha

Victorino

Ghandour

et al. 2011

IFAC Proceedings Volumes

View full text Add to dashboard Cite

This paper presents a prediction method for vehicle dynamics based on the anticipation of the state observer entries. The methodology consists in adopting hypotheses about the trajectory, velocity and acceleration in a future instant and in using these assumptions, allied to the previous road geometric information, to calculate the future tire/road lateral and vertical efforts using a state observer/anticipation method. Once knowing dynamical behavior in a future maneuver, indexes are calculated, in order to advertise a control system (the driver or an embedded computer) to the possibility of an accident, using: the percentual mobilized adherence and the load transfer ratio parameters.

show abstract

Discussion of a new adaptive speed control system incorporating the geometric characteristics of the roadway

Cited by 26 publications

References 0 publications

A new Real-Time Hardware Architecture for Road Line Tracking Using a Particle Filter

A new Real-Time Hardware Architecture for Road Line Tracking Using a Particle Filter

Cornering stiffness and sideslip angle estimation based on simplified lateral dynamic models for four-in-wheel-motor-driven electric vehicles with lateral tire force information

Vehicle Dynamics Prediction Based on State Observers Entries Anticipation

Contact Info

Product

Resources

About