Abstract: A method of providing guidance in a host vehicle, including receiving a first broadcast signal transmitted by a first vehicle; and extracting vehicle data, a vehicle identifier, and a request from the first broadcast signal; responsive to the request, determining a recommended path for the host vehicle based upon the extracted vehicle data; and displaying or causing the displaying of the recommended path to the driver of the host vehicle.

Abstract: A method and system for controlling a vehicle along a curved roadway, including receiving vehicle sensed data relating to vehicle operation and/or vehicle position and orientation; identifying first and second lane markers from the sensed data; determining a reference path for the vehicle using the lane markers; calculating a feed-forward control output based upon the curvature of the lane markers; calculating a lateral position of the vehicle relative to the reference path, and a lateral position error based upon the lateral position; and calculating a vehicle heading angle based upon the vehicle sensed data, and a heading angle error. A feedback control output is calculated using a nonlinear control function based upon the lateral position error, the heading angle error, and the sensed velocity. A steering control output is generated for steering the vehicle, based upon the feed-forward control output and the feedback control output.

Abstract: A method of controlling traffic at a first intersection having a first traffic light is disclosed, including monitoring traffic at the first intersection and storing traffic information from the monitoring in memory; receiving traffic information relating to one or more other intersections in an area in which the first intersection is located; determining a timing sequence for the first traffic light based at least in part upon the traffic information from the monitoring and the received traffic information; and updating control of the first traffic light to utilize the determined timing sequence.

Abstract: There is disclosed a system, method and software program for managing parking spaces in a geographical area. The system, method and software program includes monitoring the geographical area; identifying one or more available parking spaces in the geographical area based at least partly upon the monitoring; informing, over the air interface, one or more vehicle operators about a first available parking space of the one or more available parking spaces identified; and completing a parking reservation for the first available parking space with a first vehicle operator of the one or more vehicle operators.

Abstract: New measurement inputs for Kalman Filter or similar estimation approaches (at each sample) may include: DSRC messages from roadside transmitters (RSTs), such as: how long it takes for a DSRC signal from one or more fixed RSTs to reach the vehicle and comparison of that information with vehicle position estimates from a signal propagation model, which is based on how long it takes a DSRC signal to reach the vehicle GPS location from a fixed known RST location. From such measurements, it can be determined how much longer (or shorter) it takes to receive the RST message compared to the previous sample, which, in turn, gives an idea how far the vehicle has moved over a sample relative to a fixed RST location.

Abstract: New measurement inputs for Kalman Filter or similar estimation approaches (at each sample) may include: DSRC messages from roadside transmitters (RSTs), such as: how long it takes for a DSRC signal from one or more fixed RSTs to reach the vehicle and comparison of that information with vehicle position estimates from a signal propagation model, which is based on how long it takes a DSRC signal to reach the vehicle GPS location from a fixed known RST location. From such measurements, it can be determined how much longer (or shorter) it takes to receive the RST message compared to the previous sample, which, in turn, gives an idea how far the vehicle has moved over a sample relative to a fixed RST location.

Abstract: A notification or warning system which alerts various drivers and pedestrians of a vehicle which is being driven erratically. A vehicle is capable of running a self-diagnosis on various vehicle dynamics data to determine if erratic driving is present, and the vehicle is also able to communicate (via Dedicated Short Range Communication (DSRC), WiFi, table devices, etc.) to alert other traffic participants (i.e., drivers of other vehicles or pedestrians) of such a situation. A plurality of detection devices detect when the vehicle is performing at least one undesirable driving maneuver, and transfer information regarding the undesirable driving maneuver to a first communication device. The first communication device transmits a signal to a second communication device such that the second communication device commands a notification device to generate a warning indicating that the vehicle is performing the undesirable autonomous driving maneuver.

Abstract: A method of identifying an object includes setting scan parameters for scanning, with a sensor, objects in a field of view of the sensor; setting classification parameters for identifying objects scanned in the field of view of the sensor; controlling the sensor to scan for objects in the field of view using the scan parameters, and to identify any scanned objects based upon the classification parameters; receiving information relating to a first object which is not in the field of view but is expected to enter the field of view; modifying the scan parameters based upon the received information, controlling the sensor to scan based upon the modified scan parameters; and identifying the first object in the field of view. Responsive to identifying the first object, the method performs one or more actions so the vehicle avoids the first object.

Abstract: A method of providing guidance in a host vehicle, including receiving a first broadcast signal transmitted by a first vehicle; and extracting vehicle data, a vehicle identifier, and a request from the first broadcast signal; responsive to the request, determining a recommended path for the host vehicle based upon the extracted vehicle data; and displaying or causing the displaying of the recommended path to the driver of the host vehicle.

Abstract: New measurement inputs for Kalman Filter or similar estimation approaches (at each sample) may include: DSRC messages from roadside transmitters (RSTs), such as: how long it takes for a DSRC signal from one or more fixed RSTs to reach the vehicle and comparison of that information with vehicle position estimates from a signal propagation model, which is based on how long it takes a DSRC signal to reach the vehicle GPS location from a fixed known RST location. From such measurements, it can be determined how much longer (or shorter) it takes to receive the RST message compared to the previous sample, which, in turn, gives an idea how far the vehicle has moved over a sample relative to a fixed RST location.

Abstract: A method of identifying an object includes setting scan parameters for scanning, with a sensor, objects in a field of view of the sensor; setting classification parameters for identifying objects scanned in the field of view of the sensor; controlling the sensor to scan for objects in the field of view using the scan parameters, and to identify any scanned objects based upon the classification parameters; receiving information relating to a first object which is not in the field of view but is expected to enter the field of view; modifying the scan parameters based upon the received information, controlling the sensor to scan based upon the modified scan parameters; and identifying the first object in the field of view. Responsive to identifying the first object, the method performs one or more actions so the vehicle avoids the first object.

Abstract: New measurement inputs for Kalman Filter or similar estimation approaches (at each sample) may include: DSRC messages from roadside transmitters (RSTs), such as: how long it takes for a DSRC signal from one or more fixed RSTs to reach the vehicle and comparison of that information with vehicle position estimates from a signal propagation model, which is based on how long it takes a DSRC signal to reach the vehicle GPS location from a fixed known RST location. From such measurements, it can be determined how much longer (or shorter) it takes to receive the RST message compared to the previous sample, which, in turn, gives an idea how far the vehicle has moved over a sample relative to a fixed RST location.

Abstract: A method and system for controlling a vehicle along a curved roadway, including receiving vehicle sensed data relating to vehicle operation and/or vehicle position and orientation; identifying first and second lane markers from the sensed data; determining a reference path for the vehicle using the lane markers; calculating a feed-forward control output based upon the curvature of the lane markers; calculating a lateral position of the vehicle relative to the reference path, and a lateral position error based upon the lateral position; and calculating a vehicle heading angle based upon the vehicle sensed data, and a heading angle error. A feedback control output is calculated using a nonlinear control function based upon the lateral position error, the heading angle error, and the sensed velocity. A steering control output is generated for steering the vehicle, based upon the feed-forward control output and the feedback control output.

Abstract: A method of controlling traffic at a first intersection having a first traffic light is disclosed, including monitoring traffic at the first intersection and storing traffic information from the monitoring in memory; receiving traffic information relating to one or more other intersections in an area in which the first intersection is located; determining a timing sequence for the first traffic light based at least in part upon the traffic information from the monitoring and the received traffic information; and updating control of the first traffic light to utilize the determined timing sequence.

Abstract: There is disclosed a system, method and software program for managing parking spaces in a geographical area. The system, method and software program includes monitoring the geographical area; identifying one or more available parking spaces in the geographical area based at least partly upon the monitoring; informing, over the air interface, one or more vehicle operators about a first available parking space of the one or more available parking spaces identified; and completing a parking reservation for the first available parking space with a first vehicle operator of the one or more vehicle operators.

Abstract: A system and method for detecting the position of the head and/or eye of a driver of an automobile and automatically adjusting the position of the steering wheel based on the head and/or eye position in order to provide the driver with an optimized view of the instrumentation panel and road. The system and method utilizes the vehicle parameters, driver parameters, and various settings to determine the proper position of the steering wheel including the height, proximity to driver, and tilt angle of the steering wheel. The system may also adjust the height and/or length of the steering column in order to adjust and provide the proper position of the steering wheel.

Abstract: A system and method for detecting the position of the head and/or eye of a driver of an automobile and automatically adjusting the position of the steering wheel based on the head and/or eye position in order to provide the driver with an optimized view of the instrumentation panel and road. The system and method utilizes the vehicle parameters, driver parameters, and various settings to determine the proper position of the steering wheel including the height, proximity to driver, and tilt angle of the steering wheel. The system may also adjust the height and/or length of the steering column in order to adjust and provide the proper position of the steering wheel.

Abstract: A system associated with handling an object with a gripper includes a sensor that is configured to measure spatially distributed data that represents the position of the object that is handled by the gripper. The system further includes a computing unit that is configured to determine the behavior of the object.

Abstract: A method and system for automatically adjusting a driver seat, steering wheel, pedals, mirrors, and other components of a vehicle, based on information about the size of the driver. The method uses basic information about the driver's size—including standing height, sitting height, and gender—in a model which estimates all anthropometric data for the driver. The anthropometric data for the driver—including upper and lower arm and leg lengths, torso length, and other dimensions—is used in inverse kinematic calculations to determine optimal positions and orientations for the adjustable components of the vehicle's cockpit. The method then pre-adjusts the components before the driver enters the vehicle, and makes compatible adjustments to the mirrors and other components if the driver adjusts the driver seat.

Abstract: A system associated with handling an object with a gripper includes a sensor that is configured to measure spatially distributed data that represents the position of the object that is handled by the gripper. The system further includes a computing unit that is configured to determine the behavior of the object.