Abstract: Systems, methods, and non-transitory computer readable mediums are provided for detecting traffic lights in images based on prompts that automatically limit the search space within the images for the traffic lights. For example, a system may receive image data and prompt data identifying a search space for traffic light detection. Additionally, the system may generate layout data based on the prompt data and generate traffic light data based on the image data and the layout data. Moreover, the system may determine state information for one or more first traffics included in the image data based on the traffic light data. Further, the system may implement one or more operations associated with a navigation and routing system of the autonomous vehicle based on the state information.

Abstract: Autonomous vehicles utilize perception and understanding of road users and road objects to predict behaviors of the road users and road objects, and to plan a trajectory for the vehicle. Understanding subtypes and attributes of vulnerable road users may help autonomous vehicles better predict behaviors of and react to vulnerable road users. To offer additional understanding capabilities, an additional understanding model is added to the perception and understanding pipeline to improve classification of vulnerable road users and extraction of attributes of the vulnerable road users. The exemplary architectures of the understanding model balance recall and precision performance metrics and computational complexity.

Abstract: The present disclosure generally relates systems and techniques for classification of signs and gestures pertaining to traffic and, more specifically, to autonomous vehicle based classification of signs and gestures of humans controlling traffic (HCTs). In some aspects, the present disclosure provides a process for identifying, using one or more sensors of an autonomous vehicle (AV), a human controlling traffic (HCT) and recognizing a set of instructions from the HCT, wherein the set of instructions comprises a set of sensory data. In some aspects, the process can further include operations for modifying a trajectory of the AV based on the set of instructions received from the HCT and based on a determination on whether the set of instructions are intended for the AV.

Abstract: Systems, computer-implemented methods, applications, and user interfaces for providing triggers in a system of record are disclosed. For example, a computer-implemented method may include: maintaining a trigger where the trigger comprises condition(s), operation(s), and/or a one-to-many operator associating a first data object with multiple second data objects in organizational data associated with an organization, where the trigger can be defined based on the one-to-many operator, and where the operation(s) and/or the one-to-many operator are based on a custom computer language; evaluating the condition(s) associated with the trigger based on an occurrence of an event associated with the first data object and/or one or more of the multiple second data objects; determining that the condition(s) associated with the trigger are satisfied causing the activation of the trigger; and/or executing the operation(s) associated with the custom computer language based on the activation of the trigger.

Abstract: Systems, computer-implemented methods, applications, and user interfaces for providing triggers in a system of record are disclosed. For example, a computer-implemented method may include: maintaining a trigger where the trigger comprises condition(s), operation(s), and/or a one-to-many operator associating a first data object with multiple second data objects in organizational data associated with an organization, where the trigger can be defined based on the one-to-many operator, and where the operation(s) and/or the one-to-many operator are based on a custom computer language; evaluating the condition(s) associated with the trigger based on an occurrence of an event associated with the first data object and/or one or more of the multiple second data objects; determining that the condition(s) associated with the trigger are satisfied causing the activation of the trigger; and/or executing the operation(s) associated with the custom computer language based on the activation of the trigger.

Abstract: Environmental tracking systems and methods are disclosed. An environmental tracking system receives sensor data from the one or more sensors, such as camera(s) and Light Detection and Ranging (LIDAR) sensors. The system uses trained machine learning (ML) model(s) to detect, within the sensor data, representation(s) of at least a portion of a vehicle with a door that is at least partially open. Based on these representation(s), the system generates a boundary for the vehicle that includes the door and is sized based on the door being at least partially open. The system determines a route that avoids the boundary, for example by planning the route around the boundary or by planning to stop before intersecting with the boundary. In some examples, the sensors are sensors coupled to a second vehicle, and the second vehicle traverses the route.

Abstract: Systems, computer-implemented methods, applications, and user interfaces for providing triggers in a system of record are disclosed. For example, a computer-implemented method may include: maintaining a trigger where the trigger comprises condition(s), operation(s), and/or a one-to-many operator associating a first data object with multiple second data objects in organizational data associated with an organization, where the trigger can be defined based on the one-to-many operator, and where the operation(s) and/or the one-to-many operator are based on a custom computer language; evaluating the condition(s) associated with the trigger based on an occurrence of an event associated with the first data object and/or one or more of the multiple second data objects; determining that the condition(s) associated with the trigger are satisfied causing the activation of the trigger; and/or executing the operation(s) associated with the custom computer language based on the activation of the trigger.

Abstract: Systems, methods, apparatuses, and media for the provision of emergency services information are provided. Embodiments include receiving, by a mobile device, an emergency services information mapping table, the emergency services information mapping table comprising a plurality of entries, each entry of the plurality of entries comprising a mobile country code value, an emergency services telephone number value, and an emergency services type value. Embodiments include retrieving, by the mobile device, information from the emergency services information mapping table in response to an input from a user of the mobile device.

Abstract: Systems, methods, apparatuses, and media for the provision of emergency services information are provided. Embodiments include receiving, by a mobile device, an emergency services information mapping table, the emergency services information mapping table comprising a plurality of entries, each entry of the plurality of entries comprising a mobile country code value, an emergency services telephone number value, and an emergency services type value. Embodiments include retrieving, by the mobile device, information from the emergency services information mapping table in response to an input from a user of the mobile device.