| 1. |
- Birk, Wolfgang, et al.
(författare)
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Active safety system for a vehicle and a method for operation in an active safety system
- 2006
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Patent (populärvet., debatt m.m.)abstract
- An active safety system (10) for a vehicle comprising: - an external object sensor system (24) arranged on a host vehicle (12), said sensor system (24) being arranged to, within a detecting range (22) of said sensor system (24), sense objects (14 - 20) external to said host vehicle (12) and generate input data relating to said objects (14 - 20), wherein said input data include an object position ((R,È rel )(t)), - a threat indicator (26) which is arranged to assign a threat level (T k (t)) to each external object (k; 14 - 20) detected by the sensor system (24); and a method run in an active safety system.
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| 2. |
- Birk, Wolfgang, et al.
(författare)
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An object awareness determination system and a method for determining awareness of an object
- 2006
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Patent (populärvet., debatt m.m.)abstract
- An object awareness determination system comprising: - an external object sensor system (10) arranged on a host vehicle (14), said sensor system (10) being arranged to, within a detecting range (16) of said sensor system, sense objects (18) and generate input data relating to objects external to said host vehicle, wherein said input data include an object position (x,y), an object velocity ¦(x ,y )¦ and an object direction of movement ((x ,y )/¦(x ,y )¦) associated with each object in said detecting range (16), characterised in that said object awareness determination system further comprises; a controller (20) for determining awareness of the user to an object (22) that recently has entered the detecting range (16) of the external object sensor system, and a method for determining awareness of an object that recently has entered into a detecting range (16) of the external object sensor system
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| 3. |
- Coelingh, Erik, 1971, et al.
(författare)
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Collision Warning with Full Auto Brake and Pedestrian Detection - a practical example of Automatic Emergency Braking
- 2010
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Ingår i: ITSC 2010 - 13th International IEEE Conference on Intelligent Transportation Systems. ; , s. 6-
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Konferensbidrag (refereegranskat)abstract
- More and more vehicles are being equipped with Automatic Emergency Braking (AEB) systems. These systems intend to help the driver avoid or mitigate accidents by automatically applying the brakes prior to an accident. Initially only rear-end collision were addressed but over time more accident types are incorporated and brakes are applied earlier and stronger, in order to increase the velocity reduction before the accident occurs. This paper describes one of the latest AEB systems called Collision Warning with Full Auto Brake and Pedestrian Detection (CWAB-PD). It helps the driver with avoiding both rear-end and pedestrian accidents by providing a warning and, if necessary, automatic braking using full braking power. A limited set of accident scenarios is selected to illustratethe theoretical and practical performance of this system. It is shown that the CWAB-PD system can avoid accidents up to 35 km/h and can mitigate accidents achieving an impact speed reduction of 35 km/h. To the best of the authors knowledge CWAB-PD is the only system on the market that automatically can avoid accidents with pedestrians.
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| 4. |
- Eidehall, Andreas, 1977-, et al.
(författare)
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A New Approach to Lane Guidance Systems
- 2005
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Ingår i: Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems. - Linköping : Linköping University Electronic Press. - 0780392159 ; , s. 108-112
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Konferensbidrag (refereegranskat)abstract
- This paper presents a new automotive safety function called Emergency Lane Assist (ELA). ELA combines conventional lane guidance systems with a threat assessment module that tries to activate and deactivate the lane guidance interventions according to the actual risk level of lane departure. The goal is to only prevent dangerous lane departure manoeuvres. Such a threat assessment algorithm is dependent on detailed information about the vehicle surroundings, i.e., positions and motion of other vehicles, but also information about road and lane geometry parameters such as lane width and road curvature. An Extended Kalman Filter for estimating these parameters is used and the performance is improved by introducing a non-linear model which uses a road aligned, curved coordinate system. The ELA decision algorithm has been tested in a demonstrator and it successfully distinguishes between dangerous and safe lane changes on a small set of test scenarios. It is also able to take control of the vehicle and put it in a safe position in the original lane.
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| 5. |
- Eidehall, Andreas
(författare)
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An Automotive Lane Guidance System
- 2004
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Automotive lane guidance systems, usually referred to as Lane Keeping Aid or Lane Keeping System, are designed to prevent or warn the driver of lane departure. They typically use a buzzer to alert the driver or a steering wheel torque to actually steer the vehicle back into the center of the lane. Emergency Lane Assist (ELA) combines conventional lane guidance systems with a threat assessment module that tries to activate the lane guidance interventions according to the actual risk level of lane departure. The goal is to only prevent dangerous lane departure manoeuvres.Such a threat assessment algorithm is dependent on detailed information about the vehicle surroundings, i.e., positions and motion of other vehicles, but also information about road and lane geometry parameters such as lane width and road curvature. The thesis demonstrates that the lane estimate can be improved by using an integrated filter that combines information from object and lane tracking. This is done by introducing a road aligned, curved coordinate system which also brings other advantages when it comes to modelling and prediction.Evaluation of the integrated tracking system has been carried out on real data and the ELA decision algorithm has been tested in a demonstrator. ELA successfully distinguishes between dangerous and safe lane changes ona small set of test scenarios and is, if activated, able to take control of the vehicle and put it in a safe position in the original lane.
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| 6. |
- Eidehall, Andreas, 1977-, et al.
(författare)
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Combined Road Prediction and Target Tracking in Collision Avoidance
- 2004
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Ingår i: Proceedings of the 2004 IEEE Intelligent Vehicles Symposium. - Linköping : Linköping University Electronic Press. - 0780383109 ; , s. 619-624
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Konferensbidrag (refereegranskat)abstract
- Detection and tracking of other vehicles and lane geometry will be required for many future intelligent driver assistance systems. By integrating the estimation of these two features into a single filter, a more optimal utilization of the available information can be achieved. For example, it is possible to improve the lane curvature estimate during bad visibility by studying the motion of other vehicles. This paper derives and evaluates various approximations that are needed in order to deal with the non-linearities that are introduced by such an approach.
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| 7. |
- Eidehall, Andreas, et al.
(författare)
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Joint Road Geometry Estimation and Vehicle Tracking
- 2007
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Ingår i: Control Engineering Practice. - Linköping : Elsevier. - 0967-0661 .- 1873-6939. ; 15:12, s. 1484-1494
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Tidskriftsartikel (refereegranskat)abstract
- Detection and tracking of other vehicles and estimation of lane geometry will be required for many intelligent driver assistance systems in the future. By combining the processing of these two features into a single filter, better utilisation of the available information can be achieved. For instance, it is demonstrated that it is possible to improve the road shape estimate by including information about the lateral movement of leading vehicles. Statistical evaluation is done by comparing the estimated parameters to true values in varying road and weather conditions. The performance is also related to typical requirements of active safety applications such as adaptive cruise control and a new safety function called emergency lane assist.
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| 8. |
- Eidehall, Andreas
(författare)
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Lane Game : Lane Guidance Systems Are Now Emerging onto the Vehicle Market
- 2005
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Ingår i: Traffic Technology International. - : UK & International Press. - 1356-9252. ; , s. 40-42
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Tidskriftsartikel (refereegranskat)abstract
- This article describes the difficulties in developing an automotive lane guidance system, as well as Volvo's possible solution. Lane guidance aims to keep drivers from drifting into another lane by monitoring lane markings with a vision system that alerts the driver with an audio warning, a vibration, or a small amount of steering wheel torque to keep the vehicle in the lane. The difficulties in making such systems work, however, are many: false alarms when changing lanes intentionally, curve cutting by drivers, or driver reliance on a system while they changed CDs or checked text messages. The article describes in detail how Volvo is evaluating a system that shows promise.
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| 9. |
- Eidehall, Andreas, et al.
(författare)
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Obtaining Reference Road Geometry Parameters from Recorded Sensor Data
- 2006
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Ingår i: Proceedings of the 2006 IEEE Intelligent Vehicles Symposium. ; , s. 256-260
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Konferensbidrag (refereegranskat)abstract
- In many applications of tracking and sensing systems, reference data for tuning and verification of system performance is unavailable. In this article the problem of automotive on-line road shape estimation is discussed and a method for obtaining reference data for this application is presented. The reference data is based on a least squares curve which is fitted geometrically to the lane boundaries. It does not require any extra sensors or other hardware. It is also shown that the accuracy of the estimate is high enough to be used as a reference in most applications.
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| 10. |
- Eidehall, Andreas, et al.
(författare)
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Statistical Threat Assessment for General Road Scenes using Monte Carlo Sampling
- 2006
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- A stochastic threat assessment algorithm for general road scenes is presented. Vehicles behave in a manner which includes a desire to follow their intended paths comfortably and to avoid colliding with other objects. In particular, this can be used to detect indirect threats from objects that are not on a direct collision course, but may be forced into a collision course by the traffic situation. An example is when a vehicle has to swerve to avoid an obstacle and because of that the vehicle itself becomes a threat to another vehicle. The vehicles are on a direct collision course from the beginning, but the situation still poses a threat because of the obstacle. Control inputs of other vehicles are modelled as stochastic variables and the resulting statistical expressions are solved using Monte Carlo sampling. In any Monte Carlo method there is always a trade-off between accuracy, i.e., number of samples, and computational load. A further contribution of this work is a method to create denser sample sets without increasing computational load
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