Abstract: An automated management tool is provided for crop management including the application of all primary agricultural production inputs, including fertilizers, nutrients and other agricultural chemicals, as well as for retrieval and analysis of data pertaining to the site/farm.

Abstract: An automated management tool is provided for crop management including the application of all primary agricultural production inputs, including fertilizers, nutrients and other agricultural chemicals, as well as for retrieval and analysis of data pertaining to the site/farm.

Abstract: An object tracking system and method operable to minimize processing time for tracking objects is provided. The system includes a pair of filters operable to make associations between dynamic objects newly detected and previously detected. One of the pair of filters makes an association when the predicted location of the previously detected objects is within a predetermined distance of the newly detected object. The other of the pair of filters makes an association based upon the probability that a newly detected dynamic object is a previously detected dynamic object. The remaining unassociated dynamic objects are then localized so as to form discrete matrices for optimization filters.

Abstract: A method of tracking objects within an environment comprises acquiring sensor data related to the environment, identifying linear features within the sensor data, and determining a set of tracked linear features using the linear features identified within the sensor data and a previous set of tracked linear features, the set of tracked linear features being used to track objects within the environment.

Abstract: Training a strong classifier by classifying point cloud data with a first classifier, inferring a first terrain map from the classified point cloud data, reclassifying the point cloud data with the first classifier based on the first terrain map, and training a second classifier based on the point cloud data reclassified with the first classifier based on the terrain map. The point cloud data is then classified with the second classifier, and the procedure followed with the first classifier is iteratively repeated until a strong classifier is determined. A strong classifier is determined when a probability of a terrain map matching a given terrain for the strong classifier is approximately equal to a probability of a terrain map matching the given terrain for a prior trained classifier.

Abstract: Method, storage medium and system of optimizing a destination for a vehicle by obtaining a map corresponding to a desired destination of the vehicle and identifying objectives of the map based on multiple parameters including collision avoidance, driver time, legal constraints and social consensus. A cost function is constructed to determine an optimal destination based on a proximity to the desired destination and the identified objectives, and an optimal destination is identified by minimizing a value of the cost function.

Abstract: A driven vehicle receives position data of a subject vehicle nearby the driven vehicle, and associates the position data of the subject vehicle with a driving model. The driving model is updated by incorporating latest position data of the subject vehicle, and a future position of the subject vehicle is predicted using the updated driving model. The predicted future position of the subject vehicle can be transmitted to other processing systems of the driven vehicle, including a collision avoidance or warning system, which provides a driver notification, and an autonomous driving system, which provides vehicle actuation. A determination is made as to whether the position data of the subject vehicle fits a currently stored and available driving model, and generates a new driving model no model fits. The new model is a multi-mode predictive state representation (MMPSR) which marginalizes unknown modes of history.

Abstract: An apparatus for assisting safe operation of a vehicle includes an environment sensor system detecting hazards within the vehicle environment, a driver monitor providing driver awareness data (such as a gaze track), and an attention-evaluation module identifying hazards as sufficiently or insufficiently sensed by the driver by comparing the hazard data and the gaze track. An alert signal relating to the unperceived hazards can be provided.

Abstract: An object tracking system and method operable to minimize processing time for tracking objects is provided. The system includes a pair of filters operable to make associations between dynamic objects newly detected and previously detected. One of the pair of filters makes an association when the predicted location of the previously detected objects is within a predetermined distance of the newly detected object. The other of the pair of filters makes an association based upon the probability that a newly detected dynamic object is a previously detected dynamic object. The remaining unassociated dynamic objects are then localized so as to form discrete matrices for optimization filters.

Abstract: Training a strong classifier by classifying point cloud data with a first classifier, inferring a first terrain map from the classified point cloud data, reclassifying the point cloud data with the first classifier based on the first terrain map, and training a second classifier based on the point cloud data reclassified with the first classifier based on the terrain map. The point cloud data is then classified with the second classifier, and the procedure followed with the first classifier is iteratively repeated until a strong classifier is determined. A strong classifier is determined when a probability of a terrain map matching a given terrain for the strong classifier is approximately equal to a probability of a terrain map matching the given terrain for a prior trained classifier.

Abstract: An apparatus and method for automatic learning of high-level navigation in partially observable environments with landmarks uses full state information available at the landmark positions to determine navigation policy. Landmark Markov Decision Processes (MDPs) can be generated only for encountered parts of an environment when navigating from a starting state to a goal state within the environment, thereby reducing computational resources needed for a navigation solution that uses a fully modeled environment. An MDP policy is calculated using the SarsaLandmark algorithm, and the policy is transformed to a navigation solution based on the current position and connectivity information.

Abstract: Method, storage medium and system of optimizing a destination for a vehicle by obtaining a map corresponding to a desired destination of the vehicle and identifying objectives of the map based on multiple parameters including collision avoidance, driver time, legal constraints and social consensus. A cost function is constructed to determine an optimal destination based on a proximity to the desired destination and the identified objectives, and an optimal destination is identified by minimizing a value of the cost function.

Abstract: The present invention relates to a method and system for mapping environments containing dynamic obstacles. In one embodiment, the present invention is a method for mapping an environment containing dynamic obstacles using a processor including the steps of forming a current instantaneous map of the environment, determining cells which are free space within the current instantaneous map, determining cells which are occupied space within the current instantaneous map, and integrating the current instantaneous map with an old integrated map of the environment to form a new integrated map of the environment.

Abstract: An apparatus for assisting safe operation of a vehicle includes an environment sensor system detecting hazards within the vehicle environment, a driver monitor providing driver awareness data (such as a gaze track), and an attention-evaluation module identifying hazards as sufficiently or insufficiently sensed by the driver by comparing the hazard data and the gaze track. An alert signal relating to the unperceived hazards can be provided.

Abstract: The present invention relates to a method and system for mapping environments containing dynamic obstacles. In one embodiment, the present invention is a method for mapping an environment containing dynamic obstacles using a processor including the steps of forming a current instantaneous map of the environment, determining cells which are free space within the current instantaneous map, determining cells which are occupied space within the current instantaneous map, and integrating the current instantaneous map with an old integrated map of the environment to form a new integrated map of the environment.

Abstract: A method of tracking objects within an environment comprises acquiring sensor data related to the environment, identifying linear features within the sensor data, and determining a set of tracked linear features using the linear features identified within the sensor data and a previous set of tracked linear features, the set of tracked linear features being used to track objects within the environment.