Abstract: A vehicular driving assist system includes a forward-viewing camera disposed at a vehicle and viewing at least forward of the vehicle through a windshield of the vehicle. With the vehicle traveling along a traffic lane of a multi-lane road, the system, based at least in part on processing of image data captured by the forward-viewing camera, determines traffic attributes for the traffic lane along which the equipped vehicle is traveling and at least one adjacent traffic lane of the multi-lane road that is adjacent to the traffic lane along which the vehicle is traveling. The system determines traffic jam probability for each respective traffic lane of the multi-lane road based at least in part on the determined traffic attributes. Based on the determined traffic jam probability for each respective traffic lane of the multi-lane road, the traffic lane that has the lowest determined respective traffic jam probability may be determined.

Abstract: A vehicular driving assist system includes at least one sensor disposed at a vehicle and having a field of sensing exterior of the vehicle. An ECU includes circuitry and associated software, with the circuitry including a data processor for processing sensor data captured by the sensor to detect presence of objects in the field of sensing of the sensor. The ECU, responsive to processing by the data processor at the ECU of sensor data captured by the sensor, determines traffic attributes for a plurality of traffic lanes of a road the vehicle is travelling along. The ECU, responsive to determining the traffic attributes determines a predicted traffic value based on the traffic attributes and an output from a trained prediction model. The ECU, responsive to determining the predicted value, determines a traffic jam probability for at least one traffic lane based on the predicted value and the respective traffic attributes.

Abstract: A vehicular sensing system includes a camera and a radar sensor disposed at a vehicle. The vehicular sensing system, responsive to processing of radar data, determines presence of an object within a blind spot of a driver of the equipped vehicle that is at least sideward of the equipped vehicle. The vehicular sensing system, responsive to processing of image data, determines that the equipped vehicle is within a traffic lane that borders an edge of a road. The vehicular sensing system, responsive to determining that the detected object is not sideward of a side of the equipped vehicle that is closest to the edge of the road, generates a blind spot warning. The vehicular sensing system, responsive to determining that the detected object is sideward from the side of the equipped vehicle that is closest to the edge of the road, suppresses the blind spot warning.

Abstract: A method includes providing a simulation environment that simulates a vehicle. The method includes providing the vehicular lane centering algorithm to the simulation environment, generating a base scenario for the vehicular lane centering algorithm for use by the simulated vehicle, and extracting, from the simulation environment, traffic lane information. The method also includes measuring performance of the vehicular lane centering algorithm during the base scenario using the extracted traffic lane information and generating a plurality of modified scenarios derived from the base scenario. Each modified scenario of the plurality of modified scenarios adjusts at least one parameter of the base scenario. The method also includes measuring performance of the vehicular lane centering algorithm during the plurality of modified scenarios using the extracted traffic lane information.

Abstract: A vehicular driving assistance system includes a camera viewing exterior of a vehicle and capturing image data. The system, via processing captured image data as the vehicle travels along a current traffic lane, determines a current lateral position of the vehicle within the current traffic lane and determines a target lateral position of the vehicle within the current traffic lane. The system determines a steering command to guide the vehicle from the current lateral position to the target lateral position and determines a steering angle offset required to maintain the target lateral position within the current traffic lane and stores the determined steering angle offset in nonvolatile memory. After storing the determined steering angle offset and when the vehicle is traveling during a subsequent trip, the system determines a second target lateral position of the vehicle within the current traffic lane and applies the stored steering angle offset.

Abstract: A vehicular alert system includes a sensor disposed at a vehicle. The system, using the sensor, determines that a moving object is moving toward the vehicle. Responsive to determining a likelihood the occupant of the vehicle is going to exit the vehicle via the door of the vehicle, and responsive to determining that the detected moving object is moving toward the vehicle, the vehicular alert system (i) determines distance between the detected moving object and the door of the vehicle, and (ii) determines a heading angle of the detected moving object relative to the vehicle. The vehicular alert system determines whether the detected moving object is a threat based at least in part on (i) the determined distance and (ii) the determined heading angle. The vehicular alert system, responsive to determining that the detected moving object is a threat, alerts the occupant of the vehicle.

Abstract: A vehicular driving assistance system includes a camera viewing exterior of a vehicle and capturing image data. The system, via processing captured image data as the vehicle travels along a current traffic lane, determines a current lateral position of the vehicle within the current traffic lane and determines a target lateral position of the vehicle within the current traffic lane. The system determines a steering command to guide the vehicle from the current lateral position to the target lateral position and determines a steering angle offset required to maintain the target lateral position within the current traffic lane and stores the determined steering angle offset in nonvolatile memory. After storing the determined steering angle offset and when the vehicle is traveling during a subsequent trip, the system determines a second target lateral position of the vehicle within the current traffic lane and applies the stored steering angle offset.

Abstract: A method includes providing a simulation environment that simulates a vehicle. The method includes providing the vehicular lane centering algorithm to the simulation environment, generating a base scenario for the vehicular lane centering algorithm for use by the simulated vehicle, and extracting, from the simulation environment, traffic lane information. The method also includes measuring performance of the vehicular lane centering algorithm during the base scenario using the extracted traffic lane information and generating a plurality of modified scenarios derived from the base scenario. Each modified scenario of the plurality of modified scenarios adjusts at least one parameter of the base scenario. The method also includes measuring performance of the vehicular lane centering algorithm during the plurality of modified scenarios using the extracted traffic lane information.

Abstract: A vehicular driving assist system includes at least one sensor disposed at a vehicle and having a field of sensing exterior of the vehicle. An ECU includes circuitry and associated software, with the circuitry including a data processor for processing sensor data captured by the sensor to detect presence of objects in the field of sensing of the sensor. The ECU, responsive to processing by the data processor at the ECU of sensor data captured by the sensor, determines traffic attributes for a plurality of traffic lanes of a road the vehicle is travelling along. The ECU, responsive to determining the traffic attributes determines a predicted traffic value based on the traffic attributes and an output from a trained prediction model. The ECU, responsive to determining the predicted value, determines a traffic jam probability for at least one traffic lane based on the predicted value and the respective traffic attributes.