In this work an approach is presented to model and recognize traffic maneuvers in terms of interactions between different traffic participants on extra urban roads. Results of the recognition concept are presented and evaluated using different sensor setups and its benefit is outlined by an integration into a software framework in the field of Car-to-Car (C2C) communications. Furthermore, recognition results are used in this work to robustly predict vehicle’s trajectories while driving dynami
Käfer E, Hermes C, Wöhler C, Ritter H, Kummert F. Recognition and Prediction of Situations in Urban ...
Navigating through urban intersections is a challenging task for human drivers in gen-eral. More tha...
Abstract — To determine when to present information from various devices or services to the driver o...
In this work an approach is presented to model and recognize traffic maneuvers in terms of interacti...
Future advanced driver assistance systems (ADAS) as well as autonomous driving functions will extend...
A probabilistic system for automatic driving maneuver recognition from CAN-Bus and sensor data is in...
Abstract — The prediction of the behavior of other traffic participants and the generation of respec...
This paper describes a system for the automatic recognition of driving manoeuvres in the automobile ...
Abstract — To act intelligently in dynamic environments, a system must understand the current situat...
International audienceThe article deals with the analysis and interpretation of dynamic scenes typic...
International audienceIn this work, we address the problem of lane change maneuver prediction in hig...
Abstract—The article deals with the analysis and interpretation of dynamic scenes typical of urban d...
The intention of drivers to start discrete manoeuvres (like a lane change or a turn manoeuvre) is id...
International audienceNavigating through a road intersection is a complex manoeuvre that requires un...
Nearly 1.3 million people die each year in traffic-related accidents, whereas an additional 20-50 mi...
Käfer E, Hermes C, Wöhler C, Ritter H, Kummert F. Recognition and Prediction of Situations in Urban ...
Navigating through urban intersections is a challenging task for human drivers in gen-eral. More tha...
Abstract — To determine when to present information from various devices or services to the driver o...
In this work an approach is presented to model and recognize traffic maneuvers in terms of interacti...
Future advanced driver assistance systems (ADAS) as well as autonomous driving functions will extend...
A probabilistic system for automatic driving maneuver recognition from CAN-Bus and sensor data is in...
Abstract — The prediction of the behavior of other traffic participants and the generation of respec...
This paper describes a system for the automatic recognition of driving manoeuvres in the automobile ...
Abstract — To act intelligently in dynamic environments, a system must understand the current situat...
International audienceThe article deals with the analysis and interpretation of dynamic scenes typic...
International audienceIn this work, we address the problem of lane change maneuver prediction in hig...
Abstract—The article deals with the analysis and interpretation of dynamic scenes typical of urban d...
The intention of drivers to start discrete manoeuvres (like a lane change or a turn manoeuvre) is id...
International audienceNavigating through a road intersection is a complex manoeuvre that requires un...
Nearly 1.3 million people die each year in traffic-related accidents, whereas an additional 20-50 mi...
Käfer E, Hermes C, Wöhler C, Ritter H, Kummert F. Recognition and Prediction of Situations in Urban ...
Navigating through urban intersections is a challenging task for human drivers in gen-eral. More tha...
Abstract — To determine when to present information from various devices or services to the driver o...