Vehicle Dynamic Prediction Systems with On-Line Identification of Vehicle Parameters and Road Conditions

Hsu, Ling Yuan; Chen, Tsung-Lin

doi:10.3390/s121115778

Cited by 18 publications

(13 citation statements)

References 24 publications

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“…The first and most basic indicator that shows the inherent tendency of a vehicle to overturn and usually comes from static test conditions is named static stability factor (SSF) (Dilich & John, 1997). It can also be used in roll angle as an index to detect the rollover, but it is not used as an independent index and usually applied as a supplementary factor (Hsu & Chen, 2012). Another important and useful criterion is automobile energy index.…”

Section: Introductionmentioning

confidence: 99%

Rollover Index for the Diagnosis of Tripped and Untripped Rollovers

Kazemian

Fooladi

Darijani

2017

Lat. Am. j. solids struct.

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It is necessary to detect danger as soon as possible to avoid rollover of a vehicle in sudden events. Using rollover index in real time can be used for this purpose. The traditional rollover indices currently applying in the vehicles can only detect the untripped rollover due to severe lateral acceleration in vehicles. These indices cannot detect the tripped rollover resulted from vertical external forces in a long direction. There are recently many quantitative studies about the tripped rollover and an index was also introduced to this kind of rollover. In this research, we examined the dynamics of a SUV to improve this index and also presented a new index to detect the both types of rollovers. The precision and accuracy of the new index was evaluated by simulation in industrial software of Carsim. The numerical results of the new developed model were compared with the test results of an automobile at one-eighth scale in equal conditions and inputs. The results are indicative of the better performance of the new model presented in this research. KeywordsVehicle dynamics, Tripped rollover, Untripped rollover, Rollover index, Suspension system Rollover Index for the Diagnosis of Tripped and Untripped Rollovers

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Section: Introductionmentioning

confidence: 99%

Rollover Index for the Diagnosis of Tripped and Untripped Rollovers

Kazemian

Fooladi

Darijani

2017

Lat. Am. j. solids struct.

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“…Please note that the use of an off-line cornering stiffness estimator implies that the open-loop tests must cover the whole range of v x and δ to be performed by the test vehicle within the ODD. Although this can be implemented for on-line estimations, this procedure helps to fix values when necessary avoiding some singularities in circumstances, as no lateral accelerations [33].…”

Section: Cornering Stiffness Estimationmentioning

confidence: 99%

A Fail-Operational Control Architecture Approach and Dead-Reckoning Strategy in Case of Positioning Failures

Matute

Pérez

2020

Sensors

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Presently, in the event of a failure in Automated Driving Systems, control architectures rely on hardware redundancies over software solutions to assure reliability or wait for human interaction in takeover requests to achieve a minimal risk condition. As user confidence and final acceptance of this novel technology are strongly related to enabling safe states, automated fall-back strategies must be assured as a response to failures while the system is performing a dynamic driving task. In this work, a fail-operational control architecture approach and dead-reckoning strategy in case of positioning failures are developed and presented. A fail-operational system is capable of detecting failures in the last available positioning source, warning the decision stage to set up a fall-back strategy and planning a new trajectory in real time. The surrounding objects and road borders are considered during the vehicle motion control after failure, to avoid collisions and lane-keeping purposes. A case study based on a realistic urban scenario is simulated for testing and system verification. It shows that the proposed approach always bears in mind both the passenger’s safety and comfort during the fall-back maneuvering execution.

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“…The paper in [23] presents a vehicle dynamics prediction system consisting of a sensor fusion system and a vehicle identification one. Comparing with most important works in this field, the proposal improves the prediction accuracy both by incorporating more vehicle dynamics to the prediction and by minimizing the vehicle modeling errors.…”

Section: Papers In the Special Issuementioning

confidence: 99%

Introduction to the Special Issue on “New Trends towards Automatic Vehicle Control and Perception Systems”

Milanés

Bergasa

2013

Sensors

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Intelligent and automatic systems are making our daily life easier. They are able to automate tasks that, up to now, were performed by humans, freeing them from these tedious tasks. They are mainly based on the classical robotic architectures where the stages of perception-using different sensor sources or even a fusion of a set of them-and planning-where intelligent control systems are applied-play a key role. Among all of the fields in which intelligent systems can be applied, transport systems are considered one of the most promising ones since over one million fatalities-including drivers, pedestrians, cyclists and motorcyclists-are registered each year worldwide and they can definitively help to reduce these figures.The growth in the number of drivers in the last decades, and consequently in the number of vehicles, has made traffic accidents become a major concern in the road transportation sector. Solutions such as building new transport infrastructures-specifically in urban areas where space limitations make it almost impossible-or increasing fines for inappropriate driving have not achieved the goal of reducing the number of fatalities, either in urban environments or highways. New policies on the part of the Governments are focused on the development of a safer, more reliable and more efficient transportation supported by intelligent systems.The field of research in which all these topics fall into is well-known as intelligent transportation systems (ITS). ITS focuses on improving road safety by acting on two possible aspects: on the one hand, the infrastructure and the possibilities of optimizing traffic flow, and on the other hand, acting on the cars with the development of Advanced Driver Assistance Systems (ADAS) and the possibilities of optimizing traffic safety. The final goal is trying to reduce the number of collisions, or at least to mitigate their consequences. In this connection, one of the currently hot topics in the road OPEN ACCESS

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Vehicle Dynamic Prediction Systems with On-Line Identification of Vehicle Parameters and Road Conditions

Cited by 18 publications

References 24 publications

Rollover Index for the Diagnosis of Tripped and Untripped Rollovers

Rollover Index for the Diagnosis of Tripped and Untripped Rollovers

A Fail-Operational Control Architecture Approach and Dead-Reckoning Strategy in Case of Positioning Failures

Introduction to the Special Issue on “New Trends towards Automatic Vehicle Control and Perception Systems”

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