Abstract: Example embodiments relate to methods and systems for automatic problematic maneuver detection and adapted motion planning. A computing device may obtain a route for navigation by a vehicle and a set of vehicle parameters corresponding to the vehicle. Each vehicle parameter can represent a physical attribute of the vehicle. The computing device may generate a virtual vehicle that represents the vehicle based on the set of vehicle parameters and perform a simulation that involves the virtual vehicle navigating the route. Based on the results of the simulation, the computing device may provide the original route or a modified route to the vehicle for the vehicle to subsequently navigate to its destination. In some cases, the simulation may further factor additional conditions, such as potential weather and traffic conditions that are likely to occur during the time when the vehicle plans on navigating the route.

Abstract: Example embodiments relate to methods and systems for automatic problematic maneuver detection and adapted motion planning. A computing device may obtain a route for navigation by a vehicle and a set of vehicle parameters corresponding to the vehicle. Each vehicle parameter can represent a physical attribute of the vehicle. The computing device may generate a virtual vehicle that represents the vehicle based on the set of vehicle parameters and perform a simulation that involves the virtual vehicle navigating the route. Based on the results of the simulation, the computing device may provide the original route or a modified route to the vehicle for the vehicle to subsequently navigate to its destination. In some cases, the simulation may further factor additional conditions, such as potential weather and traffic conditions that are likely to occur during the time when the vehicle plans on navigating the route.

Abstract: Methods and systems for detecting dynamic objects using a mesh network of nodes coupled to cameras are disclosed. The system can receive sequences of frames captured by a first capture device having a first pose and a second capture device having a second pose, and track objects over time across the first sequence of frames and the second sequence of frames. The system can map the objects to three-dimensional (3D) positions in a 3D coordinate space based on correspondences between the indications of the objects. The system can determine a 3D displacement of a subset of the 3D points, and generate a 3D volume surrounding the subset. The system can use the 3D volume to classify and predict a trajectory for the dynamic object, as well as determine a risk the dynamic object poses to a protected volume in the 3D coordinate space.

Abstract: The present invention relates to a novel robot drive train that is robust, and low cost. The drive train is capable of ascending obstacles greater than the height of its wheels, protects the robot against shocks/vibration, and is highly maneuverable, such as able to execute a zero-point turn. To control the bogie in a variety of scenarios, a novel mechanism is used to selectively limit the articulation range of the bogie and/or programmatically apply a preload to the bogie axle.

Abstract: Example embodiments relate to methods and systems for automatic problematic maneuver detection and adapted motion planning. A computing device may obtain a route for navigation by a vehicle and a set of vehicle parameters corresponding to the vehicle. Each vehicle parameter can represent a physical attribute of the vehicle. The computing device may generate a virtual vehicle that represents the vehicle based on the set of vehicle parameters and perform a simulation that involves the virtual vehicle navigating the route. Based on the results of the simulation, the computing device may provide the original route or a modified route to the vehicle for the vehicle to subsequently navigate to its destination. In some cases, the simulation may further factor additional conditions, such as potential weather and traffic conditions that are likely to occur during the time when the vehicle plans on navigating the route.

Abstract: The present invention relates to a novel robot drive train that is robust, and low cost. The drive train is capable of ascending obstacles greater than the height of its wheels, protects the robot against shocks/vibration, and is highly maneuverable, such as able to execute a zero-point turn. To control the bogie in a variety of scenarios, a novel mechanism is used to selectively limit the articulation range of the bogie and/or programmatically apply a preload to the bogie axle.

Abstract: A method for facilitating a real estate transaction includes sending an authentication request of a buyer to an identity authentication service. Receiving, from the authentication server, a verified identification (ID) of the buyer. Sending a financing request of the buyer to a financing server. Receiving, from the financing server, an approved limit of the verified ID. Sending an offer to a seller where the offer includes the verified ID, the approved limit, and a property, configuration of the buyer. Also, receiving, from the seller, a response to the offer where the response is based on the verified ID and the financing request.

Abstract: An agricultural sprayer system is provided herein that can include a boom assembly having a frame and a boom arm operably coupled with the frame. The boom arm can extend a first lateral distance defined between the frame and an outer end portion of the boom arm. A nozzle assembly can be supported by the outer end portion of the boom arm. A sensor can be operably coupled with the boom assembly and configured to capture data associated with a position of the boom assembly. A computing system can be communicatively coupled to the sensor. The computing system can be configured to calculate a boom assembly curvature based on the data from the sensor; determine a nozzle speed of the nozzle assembly, wherein the nozzle speed differs from the vehicle speed when the boom arm is deflected; and determine a calculated application rate of the nozzle assembly based on the nozzle speed.

Abstract: A system for monitoring spray quality of an agricultural vehicle is provided herein that includes a boom assembly and a nozzle positioned along the boom assembly. A flow regulator is operably coupled with the nozzle and is configured to control a flow of agricultural product through the nozzle. A sensor is configured to capture data indicative of a spray exhausted from the nozzle. A spray quality controller is communicatively coupled to the sensor. The controller is configured to receive flow data from the flow regulator indicative of a demanded application rate; receive the captured data from the sensor as the agricultural vehicle travels across the field; and generate a malfunction notification when the flow data from the flow regulator indicates a flow to the nozzle and the captured data from the sensor indicates a lack of spray from the nozzle.

Abstract: The present invention relates to a novel robot drive train that is robust, and low cost. The drive train is capable of ascending obstacles greater than the height of its wheels, protects the robot against shocks/vibration, and is highly maneuverable, such as able to execute a zero-point turn. To control the bogie in a variety of scenarios, a novel mechanism is used to selectively limit the articulation range of the bogie and/or programmatically apply a preload to the bogie axle.

Abstract: A system and method for automated semantic map generation includes at least a processing system with at least one processing device. The processing system is configured to generate a probabilistic road model for road elements. The processing system is configured to generate a probabilistic traffic model for the road model. The processing system is configured to perform statistical inference on the road model and the traffic model. The processing system is configured to generate an estimate of a semantic road model based on the statistical inference. The processing system is configured to generate a semantic map that includes the estimate of the semantic road model.

Abstract: A system and method for generating purchasing interest values in relation to purchasing a product or service, by category, brand, make, or model. The method includes associating a user identity with recordations of activity in requesting information from assets accessible by addressing universal resource locators, such as applying a web browser to render web pages addressable by registered domain names of the World Wide Web; additional information such as purchasing history, residence address and income level; and estimations of proximity and ease of travel between a geographic location associated with the user identity and a point of sales or services of a product or service type, category, brand, make, or model. The product or service may be related to or comprise an automobile. A map is rendered that separately associates geographic locations with individual user identities. Marketing communications are sent to electronic and/or postal addresses associated with user identities.

Abstract: A system and method for automated semantic map generation includes at least a processing system with at least one processing device. The processing system is configured to generate a probabilistic road model for road elements. The processing system is configured to generate a probabilistic traffic model for the road model. The processing system is configured to perform statistical inference on the road model and the traffic model. The processing system is configured to generate an estimate of a semantic road model based on the statistical inference. The processing system is configured to generate a semantic map that includes the estimate of the semantic road model.

Abstract: A computer-implemented method communicates event information on a communication platform. The method comprises generating a calendar screen; and generating an event page in response to a user selection on the calendar screen.

Abstract: A system and method for generating purchasing interest values in relation to purchasing a product or service, by category, brand, make, or model. The method includes associating a user identity with recordations of activity in requesting information from assets accessible by addressing universal resource locators, such as applying a web browser to render web pages addressable by registered domain names of the World Wide Web; additional information such as purchasing history, residence address and income level; and estimations of proximity and ease of travel between a geographic location associated with the user identity and a point of sales or services of a product or service type, category, brand, make, or model. The product or service may be related to or comprise an automobile. A map is rendered that separately associates geographic locations with individual user identities. Marketing communications are sent to electronic and/or postal addresses associated with user identities.

Abstract: Techniques, a system and an article of manufacture for determining potential enterprise partnerships. A method includes constructing an interaction graph for a set of multiple enterprises based on information pertaining to each of the enterprises and information pertaining to transactions conducted among the enterprises, and determining at least two candidate partnership teams among the set of enterprises based on at least one attribute of the graph, wherein each candidate partnership team comprises two or more of the enterprises.

Abstract: Techniques, a system and an article of manufacture for determining potential enterprise partnerships. A method includes constructing an interaction graph for a set of multiple enterprises based on information pertaining to each of the enterprises and information pertaining to transactions conducted among the enterprises, and determining at least two candidate partnership teams among the set of enterprises based on at least one attribute of the graph, wherein each candidate partnership team comprises two or more of the enterprises.