Abstract: A method for wrong-way driver detection, including a step of reading in position data via an interface, the position data representing a measured position of a vehicle, a step of reading in inaccuracy data representing an inaccuracy of the position data, a step of reading in map data mapping road segments negotiable by the vehicle, and a step of ascertaining at least one plausible road segment based on the position data, the inaccuracy data and the map data, using a particle filter, the plausible road segment representing a road segment to which an instantaneous position of the vehicle may be assigned.

Abstract: A method for wrong-way driver detection, including a step of reading map data mapping road segments of a road network negotiable by a vehicle, a step of determining a plurality of instantaneous particles using a measured instantaneous position of the vehicle, one particle representing an assumed position of the vehicle and a weighting assigned to the assumed position, a step of reading in a plurality of previously filtered particles representing particles filtered in a preceding step of filtering using a particle filter, a step of determining a set of plausible road segments, using the plurality of instantaneous particles and the plurality of previously filtered particles, and a step of filtering the plurality of instantaneous particles based on the set of plausible road segments, using the particle filter, to determine a plurality of filtered particles.

Abstract: A method for wrong-way driver detection, which includes a step of reading in position data via an interface, the position data representing a measured position of a vehicle, a step of determining a plurality of particles using the position data, one particle representing an assumed position of the vehicle and a weighting assigned to the assumed position, and a step of ascertaining an instantaneous position of the vehicle on a road network negotiable by the vehicle based on the plurality of particles, using a particle filter.

Abstract: A method for wrong-way driver detection, including a step of reading in position data via an interface, the position data representing a measured position of a vehicle, a step of reading in inaccuracy data representing an inaccuracy of the position data, a step of reading in map data mapping road segments negotiable by the vehicle, and a step of ascertaining at least one plausible road segment based on the position data, the inaccuracy data and the map data, using a particle filter, the plausible road segment representing a road segment to which an instantaneous position of the vehicle may be assigned.

Abstract: A method for wrong-way driver detection, including a step of reading in position data via an interface, the position data representing a measured position of a vehicle, a step of reading in map data mapping road segments negotiable by the vehicle, a step of reading in a plurality of particles, one particle representing an assumed position of the vehicle and a weighting assigned to the assumed position, and a step of determining a deviation between the plurality of particles and the measured position represented by the position data, using the map data.

Abstract: A method for wrong-way driver detection. The method includes a step of reading in map data mapping a set of road elements of a road network negotiable by a vehicle, a step of determining a plurality of particles using measured position data of the vehicle, one particle representing an assumed position of the vehicle and a weighting assigned to the assumed position, a step of determining at least one road element, which is plausible with respect to a negotiation by the vehicle, from the set of road elements based on the plurality of particles, using a particle filter; and a step of checking the at least one plausible road element, using a classification method, to obtain at least one verified road element.

Abstract: A method for wrong-way driver detection. The method includes a step of reading in position data via an interface, the position data representing a measured position of a vehicle, a step of reading in map data, which map a set of road elements of a road network negotiable by the vehicle, a step of determining a plurality of particles using the map data, one particle representing an assumed position of the vehicle and a weighting assigned to the assumed position, and a step of determining at least one road element from the set of road elements which is plausible with respect to a negotiation by the vehicle based on the plurality of particles, using a particle filter.

Abstract: A method for wrong-way driver detection, including a step of reading in position data via an interface, the position data representing a measured position of a vehicle, a step of reading in map data mapping road segments negotiable by the vehicle, a step of reading in a plurality of particles, one particle representing an assumed position of the vehicle and a weighting assigned to the assumed position, and a step of determining a deviation between the plurality of particles and the measured position represented by the position data, using the map data.

Abstract: A method for wrong-way driver detection, including a step of reading map data mapping road segments of a road network negotiable by a vehicle, a step of determining a plurality of instantaneous particles using a measured instantaneous position of the vehicle, one particle representing an assumed position of the vehicle and a weighting assigned to the assumed position, a step of reading in a plurality of previously filtered particles representing particles filtered in a preceding step of filtering using a particle filter, a step of determining a set of plausible road segments, using the plurality of instantaneous particles and the plurality of previously filtered particles, and a step of filtering the plurality of instantaneous particles based on the set of plausible road segments, using the particle filter, to determine a plurality of filtered particles.

Abstract: A method for wrong-way driver detection. The method includes a step of reading in position data via an interface, the position data representing a measured position of a vehicle, a step of reading in map data, which map a set of road elements of a road network negotiable by the vehicle, a step of determining a plurality of particles using the map data, one particle representing an assumed position of the vehicle and a weighting assigned to the assumed position, and a step of determining at least one road element from the set of road elements which is plausible with respect to a negotiation by the vehicle based on the plurality of particles, using a particle filter.

Abstract: A method for wrong-way driver detection, which includes a step of reading in position data via an interface, the position data representing a measured position of a vehicle, a step of determining a plurality of particles using the position data, one particle representing an assumed position of the vehicle and a weighting assigned to the assumed position, and a step of ascertaining an instantaneous position of the vehicle on a road network negotiable by the vehicle based on the plurality of particles, using a particle filter.

Abstract: A method for wrong-way driver detection. The method includes a step of reading in map data mapping a set of road elements of a road network negotiable by a vehicle, a step of determining a plurality of particles using measured position data of the vehicle, one particle representing an assumed position of the vehicle and a weighting assigned to the assumed position, a step of determining at least one road element, which is plausible with respect to a negotiation by the vehicle, from the set of road elements based on the plurality of particles, using a particle filter; and a step of checking the at least one plausible road element, using a classification method, to obtain at least one verified road element.

Abstract: A method for determining a coefficient of friction for a contact between a tire of a vehicle includes processing sensor signals using a stochastic filter in order to generate processed sensor signals. The sensor signals represent status data pertaining to an environment region including the roadway, which are read in by at least one detection device, and which are able to be correlated with the coefficient of friction. The status data can be used as observed values in the stochastic filter. The method also includes ascertaining the coefficient of friction using the processed sensor signals.

Abstract: In a method for checking the plausibility of a wrong-way driving of a motor vehicle when entering a unidirectional roadway, a traversing of a stop line or a solid line of a junction of the unidirectional roadway is detected and/or at least one item of directional information of a roadway of the junction, which is located ahead of the motor vehicle, is collected, and a probability of a wrong-way driving is ascertained based on the detection. The method is performed by a control and detection unit for checking the plausibility of a wrong-way driving.

Abstract: A method for warning a driver of a vehicle. The method includes a step of opening a communication channel between a traffic management facility and a communication unit of the vehicle when a present travel of the vehicle is identified as travel in the wrong direction.

Abstract: In a method for checking the plausibility of a wrong-way driving of a motor vehicle when entering a unidirectional roadway, a traversing of a stop line or a solid line of a junction of the unidirectional roadway is detected and/or at least one item of directional information of a roadway of the junction, which is located ahead of the motor vehicle, is collected, and a probability of a wrong-way driving is ascertained based on the detection. The method is performed by a control and detection unit for checking the plausibility of a wrong-way driving.