Provided is a vehicle capable of performing safe autonomous driving by selecting a recognition area of a sensor for performing autonomous driving and maximizing the performance of the sensor according to a situation. The vehicle for performing autonomous driving includes a communication part, a driving part configured to drive the vehicle and acquire information about an element that drives the vehicle, an information acquisition part including a camera, a radar and a LiDAR, and a control part. The control part is configured to determine road condition information of a road on which the vehicle travels based on a signal acquired from the communication part, determine travel information of the vehicle based on information acquired from the driving part, receive a recognition result of the information acquisition part, determine a required performance based on the road condition information, the vehicle travelling information, and the recognition result, and change an object recognition.

Techniques are described for vehicle activity information collection and analysis. A vehicle activity information unit in a vehicle generates vehicle activity information including video data that is captured by interior and/or exterior camera(s) on the vehicle. The vehicle activity information can also include sensor data generated by an accelerometer, a compass, a temperature sensor, a Global Positioning System module, and/or other sensor(s). The vehicle activity information can also include audio data generated by at least one microphone. In some implementations, at least a portion of the vehicle activity information is collected during a period of time that includes an event (e.g., an accident). The information is stored in data storage with an association between the information and the event, and is processed to generate performance data associated with a driver of the vehicle. The performance data can be presented through a user interface to the driver or other(s).

A computer-implemented method that includes receiving a request for a target vehicle including input data associated with an operator, a geographic location, and the target vehicle. The method includes determining a depreciation rate based on third-party transaction data retrieved from databases in accordance with the input data associated with the target vehicle, and a decommission rate based on third-party ownership data retrieved from databases in accordance with the input data associated with the target vehicle. The method includes determining a deterioration rate based on local environmental data retrieved from databases in accordance with the input data associated with the geographic location, and generating a regression model configured to compute an estimated value of the target vehicle during a lifetime of the target vehicle using the input data, depreciation rate, decommission rate, and deterioration rate. The method includes determining an output in response to the request for the target vehicle.

Embodiments of the disclosure provide methods and systems for predicting a trajectory of a vehicle. An exemplary system includes a communication interface configured to receive a map of an area in which the vehicle is traveling and sensor data acquired associated with the vehicle. The system includes at least one processor configured to position the vehicle in the map and identify one or more objects surrounding the vehicle based on the positioning of the vehicle. The at least one processor is further configured to extract features of the vehicle and the one or more objects from the sensor data. The at least one processor is also configured to determine a plurality of candidate trajectories, determine a probability for each candidate trajectory based on the extracted features, and identify the candidate trajectory with the highest probability as the predicted trajectory of the vehicle.

The present invention performs analysis more appropriately on the basis of information such as location information for a plurality of moving objects. An analysis device 30 comprises: a 311 that receives changes in location information for a plurality of vehicles 50; a storage unit 32 that stores a road on which the plurality of vehicles 50 can travel, together with link information including an intersection; a link designation unit 312 that accepts a designation of the link information to be analyzed; and a control unit 313 that differentiates between respective routes of the plurality of vehicles 50 after passage through the link corresponding to the designated link information, totals the link passage times for each route, and specifies a cause of congestion on the basis of the separation between representative values for each route, said separation being based on the results of the totaling.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for searching an autonomous vehicle sensor data repository. One of the methods includes maintaining a collection of sensor samples and one or more embeddings of each sensor sample. Each sensor sample is generated from sensor data at multiple time steps and characterizes an environment at each of the multiple time steps. Each embedding corresponds to a respective portion of the sensor sample and has been generated by an embedding neural network. A query specifying a query portion of a query sensor sample is received. A query embedding corresponding to the query portion of the query sensor sample is generated through the embedding neural network. A plurality of relevant sensor samples that have embeddings that are closest to the query embedding are identified as characterizing similar scenarios to the query portion of the query sensor sample.

Embodiments relate to a system, computer program product, and method for determining shelter areas for two-wheeler vehicles, and, more specifically, for dynamically distinguishing the behavior of two-wheeler vehicles and non-two-wheeler vehicles as an indicator of shelter areas from inclement weather. The behavior of the vehicles is distinguished through a plurality of two-wheeler vehicles slowing down and congregating at a particular location as a shelter against inclement weather, while non-two-wheeler vehicles may slow down, however, not stop proximate this location.

A dangerous act resolution apparatus comprises: an acquisition part that acquires peripheral vehicle specific information; a position detection part that detects a position of the vehicle; a vehicle-to-vehicle distance measurement part that measures a vehicle-to-vehicle distance; a travel speed measurement part that measures a travel speed of the vehicle; a travel direction detection part that detects a travel direction of the vehicle; and a dangerous act detection part that judges that a dangerous act occurs when a situation in which the vehicle-to-vehicle distance is shorter than a preset first threshold and the travel speed exceeds a preset second threshold occurs within a predetermined time; and transmits dangerous act detection information according to the peripheral vehicle specific information, the position, the travel speed and the travel direction to the management center apparatus. The management center apparatus outputs the warning from the selected warning output apparatus based on dangerous act detection information.

Each of multiple vehicle data collection devices are configured to collect data streams associated with operation of a vehicle. The data streams include time-stamped speed data. A transmitter is configured to transmit the data streams. An analytics server is configured to receive the data streams transmitted by the transmitter and to process the data. In connection with the processing, data streams with at least one common time stamp are identified. The time-stamped speed for one of the data streams at a first time interval is compared to the time-stamped speed for another of the identified plurality of data streams at a second time interval, where the second time interval comprises the first time interval plus an additional time increment. Based on the comparison, it is determined whether the two of the plurality of data streams are associated with a same trip or a different trip.

According to an aspect of an embodiment, operations may comprise accessing an HD map of a region comprising information describing an intersection of two or more roads and describing lanes of the two or more roads that intersect the intersection, automatically identifying constraints on the lanes at the intersection, automatically calculating, based on the constraints on the lanes at the intersection, lane connectivity for the intersection, displaying, on a user interface, the automatically calculated lane connectivity for the intersection, receiving, from a user through the user interface, confirmation that the automatically calculated lane connectivity for the intersection is an actual lane connectivity for the intersection, and adding the actual lane connectivity for the intersection to the information describing the intersection in the HD map.