Preview based control of a tractor trailer using DGPS for preventing road departure accidents

Morellas, Vassilios; Morris, Ted; Alexander, Lee; Donath, Max

doi:10.1109/itsc.1997.660576

Cited by 19 publications

(7 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…How to detect driver fatigue effectively has become a hot topic. Recently, the main methods include based on driver's physiological signal [2][3][4], based on driver's facial features [5][6][7], based on traffic characteristics [8][9] and based on vehicle handling behavior [10]. The method of based on driver's physiological signal has gotten the most research results which can use EEG, ECG, EMG, pulse and body fluid composition to estimate the fatigue status.…”

Section: Productionmentioning

confidence: 99%

A Method of Driver Fatigue Detection based on Multi-features

Li¹,

Meng²

2015

IJSIP

View full text Add to dashboard Cite

Driver fatigue detection based on one feature is usually inaccurate. To solve the problem, a method of driver fatigue detection based on multi-features is proposed. We have analyzed the relationship between driver facial features, driving routes and vehicle handing behavior. Data of three features are collected by driving simulator and divided into two levels of awake and fatigue based on driver subjective assessment. After being discretized and normalized, the partial data is as the input data of neural network. The neural network is trained by BP algorithm. Other data is as the test samples. Experimental results show that compared with one feature, the method has higher accuracy rate and lower false positive rate.

show abstract

Section: Productionmentioning

confidence: 99%

A Method of Driver Fatigue Detection based on Multi-features

Li¹,

Meng²

2015

IJSIP

View full text Add to dashboard Cite

show abstract

“…ADAS control to prevent ROR crashes has been proposed previously, see for example [7], [8], [9], [10], [11], [12], [13], [14], [15], [16]. In existing literature, the common approach is to assume an incompetent driver and provide warning, overriding control or shared control to trigger a crash-avoiding intervention.…”

Section: Introductionmentioning

confidence: 99%

“…Many approaches have a practical bias, e.g. in [8] a road departure prevention system for heavy trucks was proposed based on autonomous steering with a motion reference obtained from vehicle localization relative to a digital map. The system would detect lane or road departure based on current position, then perform path corrections and (according to the design concept) speed control, applied to bring the vehicle to a safe condition using full autonomous control.…”

Section: Introductionmentioning

confidence: 99%

Optimal Control of Vehicle Dynamics for the Prevention of Road Departure on Curved Roads

Gao

Gordon

2019

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

Runoff Road crashes are often associated with excessive speed in curves, which may happen when a driver is distracted or fails to compensate for reduced surface friction. This work introduces an Automated Emergency Cornering (AEC) system to protect against the major effects of over-speeding on curves, especially lateral deviation leading to lane or road departure. The AEC architecture has two levels: an upper level to perform motion planning, based on the optimal control of a nonlinear particle model, and a lower level to distribute the resulting two-dimensional acceleration reference to the available actuators. The lower level adopts the recently introduced Modified Hamiltonian Algorithm (MHA), which continuously adjusts the priority between mass-centre acceleration and yaw moment demands derived from lateral stability targets. AEC makes use of a high precision map and triggers control interventions based on vehicle kinematic states and detailed road geometry. To avoid false-positive interventions, AEC is triggered only when excessive road departure is predicted for the optimal particle motion. AEC then takes control of steering and individual wheel brake actuators to perform autonomous motion control for speed and path curvature at the limits of available friction. The AEC system is tested and evaluated using the high-fidelity simulation software CarMaker.

show abstract

“…There has been considerable progress towards driver assistance systems and partial automation systems to help to improve driver convenience and to aid in accident prevention on highways. Some of the systems that have been developed include adaptive cruise control (ACC) systems, collision-avoidance systems, lane-keeping systems, lane-departure warning systems, and automated highway systems (AHSs) [1][2][3][4][5][6][7][8][9]. Of these systems, ACC systems, collisionavoidance systems, and AHSs utilize radar to determine the distance to other vehicles (targets) on the road.…”

Section: Introductionmentioning

confidence: 99%

A study of roadside passive reflectors for improvement in the radar reliability on curves and at intersections

Vijayaraghavan

Kossett

Rajamani

2008

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

The use of radar in automotive applications such as adaptive cruise control is limited to detecting target vehicles directly in front of the host vehicle. Vehicles around a curve on a highway and cross-traffic vehicles at an intersection cannot be detected by current radar systems. This is primarily due to the limited beam width angle of the radar. This paper examines and evaluates the novel concept of using passive roadside reflectors (PRRs) to increase the utility of the radar system. PRRs on the shoulder and the median of a road are designed which would enable the radar system to pick up cross traffic at highway intersections. Both simulations and experiments demonstrate that this concept could be effectively used for cross-traffic distance measurement. A limitation of this technology is that cross traffic cannot be detected when the radar-equipped vehicle is close to the intersection, owing to the lateral offset of the radar from the location of the PRR. However, the system is still valuable for providing future warning of cross traffic at rural intersections. A number of options are explored for the use of PRRs to improve radar measurements on highway curves. These include the use of tangential flat-plate reflectors, skewed flat-plate reflectors, and convex reflectors. Algorithms for distance measurement with each of these options are derived and evaluated through simulations. The use of skewed flat-plate reflectors is also evaluated experimentally and found to work effectively. The effective range of the radar on highway curves could be doubled by the use of the developed system.

show abstract

Preview based control of a tractor trailer using DGPS for preventing road departure accidents

Cited by 19 publications

References 10 publications

A Method of Driver Fatigue Detection based on Multi-features

A Method of Driver Fatigue Detection based on Multi-features

Optimal Control of Vehicle Dynamics for the Prevention of Road Departure on Curved Roads

A study of roadside passive reflectors for improvement in the radar reliability on curves and at intersections

Contact Info

Product

Resources

About