Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. In particular, a method may include receiving first sensor data from a first sensor disposed on a vehicle, the first sensor data associated with a first sensor modality, and receiving second sensor data from a second sensor disposed on the vehicle, the second sensor data associated with a second sensor modality different than the first sensor modality. The method may further include generating fused sensor data representing at least a portion of the first sensor data and the second sensor data, generating a trajectory for the vehicle based in part on the fused sensor data, and controlling the vehicle based in part on the trajectory.

An autonomous running vehicle transmits a camera image around the vehicle photographed by a camera to a remote monitoring center. An obstacle is detected on the basis of information obtained from autonomous sensors including the camera. When an obstacle is detected, the autonomous running vehicle is automatically stopped. The remote monitoring center determines, when the autonomous running vehicle automatically stops, whether or not the run of the autonomous running vehicle is permitted to restart on the basis of the received camera video. When it is determined that the autonomous running vehicle can be restarted, a departure signal is transmitted to the autonomous running vehicle. When the departure signal is received from the remote monitoring center, the autonomous running vehicle restarts running.

A system and a method are disclosed that generate for display to a remote operator a user interface comprising a map, the map comprising visual representations of a source area, a plurality of candidate robots, and a plurality of candidate destination areas. The system receives, via the user interface, a selection of a visual representation of a candidate robot of the plurality of candidate robots, and detects a drag-and-drop gesture within the user interface of the visual representation of the candidate robot being dragged-and-dropped to a visual representation of a candidate destination area of the plurality of candidate destination areas. Responsive to detecting the drag-and-drop gesture, the system generates a mission, where the mission causes the candidate robot to autonomously transport an object from the source area to the candidate destination area.

A processing device acquires map data that has road information, acquires detection results detected by one or more detectors that detects surroundings of a first mobile object, and cross-checks a position of a second mobile object included in the detection results with the road information of the map data to determine whether or not the position of the second mobile object is included in a region indicating a road of the road information.

A transportation system includes an artificial intelligence (AI) system for processing a sensory input from a wearable device in a self-driving vehicle to determine an emotional state of a rider and optimizing a vehicle operating parameter to improve the rider emotional state. The AI system includes a recurrent neural network to indicate a change in the emotional state of the rider by a recognition of patterns of emotional state indicative wearable sensor data from a set of wearable sensors worn by the rider. The patterns are indicative of a first degree of a favorable emotional state of the rider and/or a second degree of an unfavorable emotional state of the rider. The AI system further includes a radial basis function neural network to optimize, for achieving a target emotional state of the rider, the vehicle operating parameter in response to the indication of the change in the rider emotional state.

An embodiment of the present invention provides, comprising: a communication unit configured to communicate with a plurality of external AI apparatuses; and a processor configured to receive sound signals of the user from the plurality of external AI apparatuses, calculate a distance and a variation of the distance from each of the plurality of external AI apparatuses to the user based on the received sound signals, determine a current path of the user based on the calculated distance and the calculated variation of the distance, and determine a future path of the user based on the current path.

According to an aspect of an embodiment, operations may comprise accessing a set of vehicle poses of one or more vehicles; for each of the set of vehicle poses, accessing a high definition (HD) map of a geographical region surrounding the vehicle pose, with the HD map comprising a three-dimensional (3D) representation of the geographical region, determining a measure of constrainedness for the vehicle pose, with the measure of constrainedness representing a confidence for performing localization for the vehicle pose based on 3D structures surrounding the vehicle pose, and storing the measure of constrainedness for the vehicle pose; and for each of the geographical regions surrounding each of the set of vehicle poses, determining a measure of constrainedness for the geographical region based on measures of constrainedness of vehicle poses within the geographical region, and storing the measure of constrainedness for the geographical region.

The subject disclosure provides techniques for enriching user reviews and providing improved user recommendations using data collected by autonomous vehicles (AVs). In some aspects, a process of the disclosed technology includes steps for receiving a ride request wherein the ride request specifies a pick-up location associated with a user identifier (ID), navigating an autonomous vehicle to the pick-up location to provide ride service for a user associated with the user ID, and receiving review information from the user, wherein the review information relates to a product or service consumed by the user. In some aspects, the process can also include steps for associating the review information with the user ID, and enriching the review information using trip information associated with the user ID. Systems and computer-readable media are also provided.

An amphibious vehicle having a frame that includes a plurality of floatable members. Mounted to the frame is one or more power sources. Also mounted to the frame and connected to the power source are a plurality of propellers with each of the plurality of propellers having a thrust vector configured to be adjusted to provide agitation and propulsion. In addition, mounted to the frame are a plurality of ground engaging devices and one or more pumps.

An autonomous vehicle is provided. The autonomous vehicle includes a vehicle body, sensors and a processing element. The sensors are deployed on the vehicle body to sense surroundings of the vehicle body. The processing element is coupled to the vehicle body and the sensors. The processing element is configured to receive information from the sensors and to control driving operations of the vehicle body in accordance with the received information. The processing element is also configured to interpret at least a portion of the received information as being indicative of a troublesome incident and to deduce that a need for help to address the troublesome incident exists.