Abstract: A method for determining a wet surface condition of a road. An image of a road surface is captured by an image capture device of the host vehicle. The image capture device is mounted on a side of the host vehicle and captures an image in a downward direction. A region of interest rearward of the wheel of the host vehicle is identified in the captured image by a processor. The region of interest is representative of where rearward splash as generated by the wheel occurs. A determination is made whether precipitation is present in the region of interest by applying a filter to the image. A wet road surface signal is generated in response to the identification of precipitation in the region of interest.

Abstract: A method for determining wetness on a path of travel. A surface of the path of travel is captured by at least one image capture device. A plurality of wet surface detection techniques is applied to the at least one image. An analysis for each wet surface detection technique is determined in real-time of whether the surface of the path of travel is wet. Each analysis independently determines whether the path of travel is wet. Each analysis by each wet surface detection technique is input to a fusion and decision making module. Each analysis determined by each wet surface detection technique is weighted within the fusion and decision making module by comprehensive analysis of weather information, geology information, and vehicle motions. A wet surface detection signal is provided to a control device. The control device applies the wet surface detection signal to mitigate the wet surface condition.

Abstract: A method for determining a thickness of water on a path of travel. A plurality of images of a surface of the path of travel is captured by an image capture device over a predetermined sampling period. A plurality of wet surface detection techniques are applied to each of the images. A detection rate is determined in real-time for each wet surface detection technique. A detection rate trigger condition is determined as a function of a velocity of the vehicle for each detection rate. The real-time determined detection rate trigger conditions are compared to predetermined detection rate trigger conditions in a classification module to identify matching results pattern. A water film thickness associated with the matching results pattern is identified in the classification module. A water film thickness signal is provided to a control device. The control device applies the water film thickness signal to mitigate the wet surface condition.

Abstract: Methods and systems are provided for determining vehicle spin-out conditions including conditions indicative of a vehicle spin-out ahead of the vehicle actually spinning-out. The methods and systems receive motion parameters of a vehicle based on sensed signals from at least one vehicle sensor of an electronic power steering system and an inertial measurement unit. The method and systems estimate pneumatic trail based on a rate of change of self-aligning torque with respect to axle lateral force. The methods and systems determine vehicle spin-out conditions based on the estimated pneumatic trail. The methods and systems control at least one feature of a vehicle in response to the determined vehicle spin-out conditions.

Abstract: Systems and method are provided for controlling a first vehicle. In one embodiment, a method includes: determining, by a processor, that a second vehicle is going to merge into a current lane of the first vehicle at a merge point; and in response to the determining: obtaining, by the processor, a velocity history of the second vehicle, determining, by the processor, a first time value associated with the first vehicle and the merge point; determining, by the processor, a second time value associated with the second vehicle and the merge point; determining, by the processor, an intention of the second vehicle based on the velocity history, the first time value, and the second time value; and selectively generating, by the processor a command to at least one of control the first vehicle and provide notification based on the intention.

Abstract: A system and method for computationally estimating a directional velocity of a vehicle in real time under different configurations and road conditions for use in vehicle antilock braking, adaptive cruise control, and traction and stability control by correcting measured accelerations with respect to the estimated road angles. A time window is used to provide reliable mapped acceleration for the transient regions and maneuvers on gravel surfaces with high fluctuations in the acceleration measurement. Longitudinal and lateral accelerations are mapped from the vehicle's CG into the tire coordinates using the vehicle's geometry, lateral velocity, yaw rate, and the steering wheel angle to generate system matrices of the combined kinematic-force estimation structure.

Abstract: Methods and systems are provided for detecting faults in a sensor and reconstructing an output signal without use of the faulty sensor. In one embodiment, a method includes: receiving, by a processor, sensor data indicating a measured value from a first sensor; receiving, by a processor, sensor data indicating measured values from a plurality of other sensors; computing, by a processor, virtual values based on a vehicle model and the sensor data from the plurality of other sensors; computing, by a processor, a residual difference between the measured value from the first sensor and the virtual values; detecting, by a processor, whether a fault exists in the first sensor based on the residual difference; and when a fault in the sensor is detected, generating, by a processor, a control value based on the virtual values instead of the measured value.

Abstract: A method of reconstructing a detected faulty signal. A roll sensor fault is detected by a processor. A signal of the detected faulty roll sensor is reconstructed using indirect sensor data. The reconstructed signal is output to a controller to maintain stability.

Abstract: A method of adaptively re-generating a planned path for an autonomous driving maneuver. An object map is generated based on the sensed objects in a road of travel. A timer re-set and actuated. A planned path is generated for autonomously maneuvering the vehicle around the sensed objects. The vehicle is autonomously maneuvered along the planned path. The object map is updated based on sensed data from the vehicle-based devices. A safety check is performed for determining whether the planned path is feasible based on the updated object map. The planned path is re-generated in response to a determination that the existing path is infeasible, otherwise a determination is made as to whether the timer has expired. If the timer has not expired, then a safety check is re-performed; otherwise, a return is made to re-plan the path.

Abstract: A method of displaying a captured image on a display device. A real image is captured by an image capture device. The image capture device uses a field-of-view lens that distorts the real image. A camera model is applied to the captured real image. The camera model maps objects in the captured real image to an image sensor plane of the image capture device to generate a virtual image. The image sensor plane is reconfigurable to virtually alter a shape of the image sensor plane to a non-planar surface. The virtual image formed on the non-planar image surface of the image sensor is projected to the display device.

Abstract: A method for providing vehicle steering control through a curve in an autonomously driven or semi-autonomously driven vehicle that is towing a trailer. The method determines that the trailer will cross out of the travel lane based on the curvature of the curve and the turn radius of the trailer. The method calculates a start turn radius of the vehicle for a start location of the curve, an end turn radius of the vehicle for an end location of the curve, and a turn end point proximate the end location or a turn start point proximate the start location. The method provides initial and boundary conditions for determining a desired path of the vehicle through the curve that prevents the trailer from crossing out of the lane and determines the desired path based on the initial and boundary conditions by solving a polynomial equation.

Abstract: A method for providing a warning that a trailer being towed by a vehicle will cross out of a travel lane when in a curve for the current vehicle path prior to the vehicle entering the curve. The method determines that the vehicle is approaching the curve, determines a radius of curvature of the curve, determines a lane width of the travel lane, and identifying a length of the trailer. The method also determines a predicted steering angle of the vehicle necessary to follow the radius of curvature of the curve, a turn radius of the vehicle for traveling through the curve using the predicted steering angle, and a turn radius of the trailer using the turn radius of the vehicle. The method then determines whether the trailer will cross out of the travel lane based on the curvature of the curve and the turn radius of the trailer.

Abstract: A method of determining a wet surface condition of a road. An image of a road surface is captured by an image capture device of the host vehicle. The image capture device is mounted on a side of the host vehicle and an image is captured in a downward direction. A region of interest is identified in the captured image by a processor. The region of interest is in a region rearward of a tire of a host vehicle. The region of interest is representative of where a tire track as generated by the tire rotating on the road when the road surface is wet. A determination is made whether water is present in the region of interest as a function of identifying the tire track. A wet road surface signal is generated in response to the identification of water in the region of interest.

Abstract: A reduced-order fail-safe inertial measurement unit system. A first inertial measurement unit device includes a plurality of accelerometers measuring linear accelerations and gyroscopes measuring angular velocities. A second inertial measurement unit device includes a reduced number of accelerometers and gyroscopes relative to the first inertial measurement unit device measuring at least two linear accelerations and at least one angular velocity. A processor receives acceleration data from the first and second inertial measurement units. The processor detects faulty data measurements from the first inertial measurement unit. The processor supplements the faulty data measurements of the first inertial measurement unit with transformed data generated as a function of the measurement data from the second inertial measurement unit. The processor applies predetermined transformation solutions to transform the measurement data from the second inertial measurement unit into the transformed data.

Abstract: A method of reconstructing a detected faulty signal. A pitch sensor fault is detected by a processor. A signal of the detected faulty pitch sensor is reconstructed using indirect sensor data. The reconstructed signal is output to a controller to maintain stability.

Abstract: A method of reconstructing a detected faulty signal. A roll sensor fault is detected by a processor. A signal of the detected faulty roll sensor is reconstructed using indirect sensor data. The reconstructed signal is output to a controller to maintain stability.

Abstract: A method of determining a surface condition of a path of travel. A plurality of images is captured of a surface of the path of travel by an image capture device. The image capture device captures images at varying scales. A feature extraction technique is applied by a feature extraction module to each of the scaled images. A fusion technique is applied, by the processor, to the extracted features for identifying the surface condition of the path of travel. A road surface condition signal provide to a control device. The control device applies the road surface condition signal to mitigate the wet road surface condition.

Abstract: Methods and systems are provided for controlling a component of a vehicle. In one embodiment, a method includes: receiving, by a processor, data associated with a center of gravity of the vehicle; determining, by a processor, a wheel moment adjustment command for each wheel of the vehicle based on the received data; determining, by a processor, at least one control output based on driver commands and the wheel moment adjustment command for each wheel; and selectively controlling, by a processor, at least one component associated with at least one of an active safety system and a chassis system of the vehicle based on the at least one control output.

Abstract: Methods and systems are provided for controlling components of a vehicle. In one embodiment, a method includes: generating a model of vehicle dynamics based on vehicle corner information; determining a control output based on the model of vehicle dynamics; and selectively controlling at least one component associated with at least one of an active safety system and a chassis system of the vehicle based on the control output.

Abstract: Methods and systems are provided for controlling a component of a vehicle. In one embodiment, a method includes: receiving sensor data sensed from the vehicle; processing the sensor data to determine an ideal state of the vehicle; processing the sensor data and the ideal state of the vehicle to determine a feasible state of the vehicle; and selectively controlling at least one component associated with at least one of an active safety system and a chassis system of the vehicle based on the at least one feasible state.