Abstract: The present disclosure relates to a vehicle that includes a windshield and a frame. In addition, the vehicle includes a first pillar that extends from one side of the windshield. The first pillar includes a first wall and a second wall coupled to the first wall. The first pillar also includes a first portion and a second portion. The first portion includes a first interior support coupled to the first wall and a second interior support coupled to the second wall. Further, the first interior support includes a first end which is spaced from a second end in the second portion.

Abstract: The present disclosure relates to a vehicle that includes a windshield and a frame. In addition, the vehicle includes a first pillar that extends from one side of the windshield. The first pillar includes a first wall and a second wall coupled to the first wall. The first pillar also includes a first portion and a second portion. The first portion includes a first interior support coupled to the first wall and a second interior support coupled to the second wall. Further, the first interior support includes a first end which is spaced from a second end in the second portion.

Abstract: The present disclosure relates to a vehicle that includes a windshield and a frame. In addition, the vehicle includes a first pillar that extends from one side of the windshield. The first pillar includes a first wall and a second wall coupled to the first wall. The first pillar also includes a first portion and a second portion. The first portion includes a first interior support coupled to the first wall and a second interior support coupled to the second wall. Further, the first interior support includes a first end which is spaced from a second end in the second portion.

Abstract: The present disclosure relates to a vehicle that includes a windshield and a frame. In addition, the vehicle includes a first pillar that extends from one side of the windshield. The first pillar includes a first wall and a second wall coupled to the first wall. The first pillar also includes a first portion and a second portion. The first portion includes a first interior support coupled to the first wall and a second interior support coupled to the second wall. Further, the first interior support includes a first end which is spaced from a second end in the second portion.

Abstract: Techniques are described for routing service requests in a computer-implemented service environment. A received service request may be initially analyzed to determine a priority of the request. In some implementations, one or more actions may be automatically performed to provide an initial response to the requester. The text of the request may be analyzed to automatically determine a category of the request. In some implementations, a classification engine may determine the category of the request through use of a classification model that has been trained using one or more machine learning (ML) techniques and/or that employs Natural Language Processing (NLP). Based on the category, the request may be routed to agent(s) for handling. Routing may include generating a ticket that includes the request, the category, the priority, and/or other information, and the ticket may be provided to the appropriate agent(s) through a ticketing service.

Abstract: Systems and methods for lane detection that are capable of providing a warning to a driver of a vehicle in case the vehicle deviates from the detected lane. The method includes receiving a plurality of images captured by an image capturing device, pre-processing the received plurality of images to obtain a Region of Interest (RoI) in the plurality of images, and obtain one or more edge features over the RoI, extracting one or more ridge features based on processing of the RoI, detecting an indication of a footpoint of one or more probable lane lines based on the extracted ridge features, detecting a potential lane based on the footpoint of the probable lane lines, applying a mask on the one or more edge features to obtain relevant edges, and detecting a final lane based on the extracted relevant edges and based on the footpoint of the probable lane lines.

Abstract: Techniques are described for routing service requests in a computer-implemented service environment. A received service request may be initially analyzed to determine a priority of the request. In some implementations, one or more actions may be automatically performed to provide an initial response to the requester. The text of the request may be analyzed to automatically determine a category of the request. In some implementations, a classification engine may determine the category of the request through use of a classification model that has been trained using one or more machine learning (ML) techniques and/or that employs Natural Language Processing (NLP). Based on the category, the request may be routed to agent(s) for handling. Routing may include generating a ticket that includes the request, the category, the priority, and/or other information, and the ticket may be provided to the appropriate agent(s) through a ticketing service.