Abstract: A method for cable wire insertion verification includes, at an insertion verification system, receiving a vibration signal from a vibration sensor. The vibration signal represents vibration caused by insertion of a cable wire into a cable cavity of a cable connector housing. The vibration signal is input to an insertion verification model trained to evaluate whether input vibration signals are consistent with correct cable wire insertion. The insertion verification model outputs an indication that the vibration signal is consistent with correct insertion of the cable wire into the cable cavity.

Abstract: A hybrid probabilistic driving behavior modeling system conditioned on weather for a vehicle includes one or more controllers executing instructions to determine, by a longitudinal driving model stored by the one or more controllers, a probabilistic longitudinal velocity of the vehicle with respect to a current weather condition based on a car-following model, a semantic rule system, and a speed and visibility model. The current weather condition indicates an adverse weather condition impacting driving conditions for the vehicle. The one or more controllers determine, by a probabilistic lateral driving model by the one or more controllers, one or more lane choices for the vehicle with respect to the current weather condition based on a route plan of the vehicle and perception data indicative of an environment surrounding the vehicle and selects a final lane choice from the one or more lane choices.

Abstract: A method for cable wire insertion monitoring includes receiving, from a camera system, an inspection image of a connector housing held in a housing retainer of a housing inspection system. Insertion of a cable wire into a corresponding cable cavity of the connector housing is detected via an insertion monitoring machine vision system. Based at least in part on the inspection image, an insertion depth of the cable wire into the corresponding cable cavity is estimated. An indication of the insertion depth of the cable wire is output.

Abstract: An end-to-end perception perturbation modeling system for a vehicle includes one or more controllers storing a detection model in memory. The detection model includes a plurality of detection model plots that each indicate a probability value that an object in an environment surrounding the vehicle is detected based on a current weather condition and a distance measured between the vehicle and the object detected in the environment surrounding the vehicle. The one or more controllers execute instructions to receive an input state of the vehicle that is observed during non-inclement weather conditions and indicates one or more vehicle states, the current weather condition, and the distance. The controllers determine a perturbed state of the vehicle observed during the current weather condition.

Abstract: A method for cable wire insertion verification includes, at an insertion verification system, receiving a vibration signal from a vibration sensor. The vibration signal represents vibration caused by insertion of a cable wire into a cable cavity of a cable connector housing. The vibration signal is input to an insertion verification model trained to evaluate whether input vibration signals are consistent with correct cable wire insertion. The insertion verification model outputs an indication that the vibration signal is consistent with correct insertion of the cable wire into the cable cavity.

Abstract: According to several aspects, a method for path planning for a vehicle includes determining a predicted trajectory of a remote vehicle. The predicted trajectory of the remote vehicle includes a plurality of predicted trajectory nodes. The method further includes determining a plurality of possible trajectories for the vehicle. The plurality of possible trajectories includes a plurality of possible trajectory nodes. The method further includes determining one or more evaluation metrics of each of the plurality of possible trajectory nodes based at least in part on a weather condition in an environment surrounding the vehicle. The method further includes selecting an optimal trajectory for the vehicle from the plurality of possible trajectories based at least in part on the one or more evaluation metrics of each of the plurality of possible trajectory nodes. The method further includes performing a first action based at least in part on the optimal trajectory.

Abstract: A method for cable wire insertion verification includes receiving, from a camera system, an inspection image of a connector housing held in a housing retainer of a housing inspection system. Via a connector recognition machine vision system, the connector housing is classified as a recognized connector housing type based, at least in part, on a comparison between the inspection image of the connector housing and a template image corresponding to the recognized connector housing type. For one or more cable cavities of the connector housing, the method includes automatically verifying whether a correct cable wire is inserted into the cable cavity according to the recognized connector housing type.

Abstract: According to several aspects, a method for path planning for a vehicle includes determining a predicted trajectory of a remote vehicle. The predicted trajectory of the remote vehicle includes a plurality of predicted trajectory nodes. The method further includes determining a plurality of possible trajectories for the vehicle. The plurality of possible trajectories includes a plurality of possible trajectory nodes. The method further includes determining one or more evaluation metrics of each of the plurality of possible trajectory nodes based at least in part on a weather condition in an environment surrounding the vehicle. The method further includes selecting an optimal trajectory for the vehicle from the plurality of possible trajectories based at least in part on the one or more evaluation metrics of each of the plurality of possible trajectory nodes. The method further includes performing a first action based at least in part on the optimal trajectory.

Abstract: A method, system and computer program product are provided for determining wire contact insertion based on image analysis. Methods include: acquiring at least one image of a connector having a plurality of wire contact insertion holes; identifying a wire contact within a wire contact insertion hole of the plurality of wire contact insertion holes; determining that the wire contact insertion hole is a correct wire contact insertion hole; determining that the wire contact has been fully inserted into the correct wire contact insertion hole; and providing feedback indicating that the wire contact is fully inserted into the correct wire contact insertion hole. The feedback includes in some cases a first indicator indicating that the wire contact is in the correct wire contact insertion hole and a second indicator indicating that the wire contact is fully inserted into the correct wire contact insertion hole.

Abstract: A system for updating a road map for a vehicle includes a plurality of vehicle sensors and a vehicle controller in electrical communication with the plurality of vehicle sensors. The vehicle controller is programmed to gather input data about an environment surrounding the vehicle using the plurality of vehicle sensors. The input data includes at least one abnormal traffic pattern indication. The vehicle controller is further programmed to generate an input label map based at least in part on the input data. The vehicle controller is further programmed to generate a vehicle output label map based at least in part on the input label map. The vehicle output label map is generated using a machine learning algorithm. The vehicle controller is further programmed to perform a first action based at least in part on the vehicle output label map.

Abstract: A hybrid probabilistic driving behavior modeling system conditioned on weather for a vehicle includes one or more controllers executing instructions to determine, by a longitudinal driving model stored by the one or more controllers, a probabilistic longitudinal velocity of the vehicle with respect to a current weather condition based on a car-following model, a semantic rule system, and a speed and visibility model. The current weather condition indicates an adverse weather condition impacting driving conditions for the vehicle. The one or more controllers determine, by a probabilistic lateral driving model by the one or more controllers, one or more lane choices for the vehicle with respect to the current weather condition based on a route plan of the vehicle and perception data indicative of an environment surrounding the vehicle and selects a final lane choice from the one or more lane choices.

Abstract: An end-to-end perception perturbation modeling system for a vehicle includes one or more controllers storing a detection model in memory. The detection model includes a plurality of detection model plots that each indicate a probability value that an object in an environment surrounding the vehicle is detected based on a current weather condition and a distance measured between the vehicle and the object detected in the environment surrounding the vehicle. The one or more controllers execute instructions to receive an input state of the vehicle that is observed during non-inclement weather conditions and indicates one or more vehicle states, the current weather condition, and the distance. The controllers determine a perturbed state of the vehicle observed during the current weather condition.

Abstract: A method, system and computer program product are provided for determining wire contact insertion based on image analysis. Methods include: acquiring at least one image of a connector having a plurality of wire contact insertion holes; identifying a wire contact within a wire contact insertion hole of the plurality of wire contact insertion holes; determining that the wire contact insertion hole is a correct wire contact insertion hole; determining that the wire contact has been fully inserted into the correct wire contact insertion hole; and providing feedback indicating that the wire contact is fully inserted into the correct wire contact insertion hole. The feedback includes in some cases a first indicator indicating that the wire contact is in the correct wire contact insertion hole and a second indicator indicating that the wire contact is fully inserted into the correct wire contact insertion hole.