Erik Coelingh

Erik Coelingh

Greater Gothenburg Metropolitan Area
5 tn följare Fler än 500 kontakter

Info

One of the best things I know is to develop new technologies that create a positive…

Aktivitet

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Erfarenhet

  • Zenseact-bild

    Zenseact

    Gothenburg, Västra Götaland County, Sweden

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    Gothenburg, Vastra Gotaland County, Sweden

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    Gothenburg, Västra Götaland County, Sweden

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    Gothenburg, Västra Götaland County, Sweden

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    Gothenburg, Västra Götaland County, Sweden

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    Gothenburg, Västra Götaland County, Sweden

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    Gothenburg, Västra Götaland County, Sweden

Utbildning

Publikationer

  • Longitudinal and Lateral Control for Automated Yielding Maneuvers

    IEEE Transactions on Intelligent Transportation Systems

    by J. Nilsson, M. Brännström, J. Fredriksson and E. Coelingh

    Automated driving is predicted to enhance traffic safety, transport efficiency, and driver comfort. To extend the capability of current advanced driver assistance systems, and eventually realize fully automated driving, the intelligent vehicle system must have the ability to plan different maneuvers while adapting to the surrounding traffic environment. This paper presents an algorithm for longitudinal and lateral trajectory…

    by J. Nilsson, M. Brännström, J. Fredriksson and E. Coelingh

    Automated driving is predicted to enhance traffic safety, transport efficiency, and driver comfort. To extend the capability of current advanced driver assistance systems, and eventually realize fully automated driving, the intelligent vehicle system must have the ability to plan different maneuvers while adapting to the surrounding traffic environment. This paper presents an algorithm for longitudinal and lateral trajectory planning for automated driving maneuvers where the vehicle does not have right of way, i.e., yielding maneuvers. Such maneuvers include, e.g., lane change, roundabout entry, and intersection crossing. In the proposed approach, the traffic environment which the vehicle must traverse is incorporated as constraints on its longitudinal and lateral positions. The trajectory planning problem can thereby be formulated as two loosely coupled low-complexity model predictive control problems for longitudinal and lateral motion. Simulation results demonstrate the ability of the proposed trajectory planning algorithm to generate smooth collision-free maneuvers which are appropriate for various traffic situations.

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  • Decision Making on when to Brake and when to Steer to Avoid a Collision

    International Journal of Vehicle Safety

    by M. Brännström, E. Coelingh and J. Sjöberg

    This contribution considers an algorithm for threat assessment which can be used in general traffic situations not only to decide if an intervention is necessary to avoid an accident, but also to select which type of intervention, steering or braking. The algorithm is evaluated on four accident types.

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  • Performance Limitations in Vehicle Platoon Control

    IEEE ITS Magazine

    by S. Solyom and E. Coelingh

    This paper analyses the effects of fundamental limitations on the longitudinal and lateral control performance of a platoon and the effects on following distance, perceived safety and fuel economy. The trade-off between minimizing fuel consumption and maintaining a safe following distance is analyzed and described.

  • All aboard the Robotic Road Train

    IEEE Spectrum

    by E. Coelingh and S. Solyom

    Public transportation has its own drawbacks: Buses and trains don't start at your home and don't end at your destination, nor do they leave just when you'd like or even guarantee you a seat. To get the best of both worlds, we could teach our cars to work together, as closely grouped cyclists do in a peloton. The lead car could be entrusted to a professional driver to whom the other drivers would of course each pay a small fee; all the other cars would follow…

    by E. Coelingh and S. Solyom

    Public transportation has its own drawbacks: Buses and trains don't start at your home and don't end at your destination, nor do they leave just when you'd like or even guarantee you a seat. To get the best of both worlds, we could teach our cars to work together, as closely grouped cyclists do in a peloton. The lead car could be entrusted to a professional driver to whom the other drivers would of course each pay a small fee; all the other cars would follow it automatically.

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  • Collision Warning with Full Auto Brake and Pedestrian Detection - a practical example of Automatic Emergency Braking

    IEEE Conference on Intelligent Transportation Systems

    by E. Coelingh, A. Eidehall and M. Bengtsson

    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. To the best of the authors knowledge CWAB-PD is the only system on the market that automatically can avoid accidents with pedestrians.

Utmärkelser och priser

  • 60 people driving the self-driving movement

    Automotive News

    Chosen because: Volvo has made considerable efforts in advancing driverless vehicles, including launching its Drive Me program to test 100 self-driving cars on public roads in Sweden, partnering with Autoliv to develop an autonomous vehicle system and pledging to take responsibility for any accident involving its technology.

    http://www.autonews.com/article/20161219/OEM02/312199960/erik-coelingh

  • Volvo Cars Technology Award

    Volvo Car Corporation

    For the development of SARTRE – Safe Roadtrains for the Environment

  • U.S. Government Award for Safety Engineering Excellence

    National Highway Traffic Safety Administration

    Awarded in recognition of and appreciation for extraordinary contributions in the field of motor vehicle safety engineering and for distinguished service to the motoring public

  • Volvo Cars Technology Award

    Volvo Car Corporation

    For the development of Intersection Collision Avoidance

  • Henry Ford Technology Award

    Ford Motor Company

    For the development of Collision Warning with Full Auto Brake and Pedestrian Detection

  • Henry Ford Technology Award

    Ford Motor Company

    For the development of Collision Warning with Auto Brake

Språk

  • English

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  • Dutch

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  • Swedish

    Fullständig professionell nivå

  • German

    Begränsad yrkeskunskap

  • French

    Grundläggande kunskaper

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