Abstract: In one embodiment, a method includes determining a plurality of available locations for a vehicle to pick up or drop off a user in an area based on sensor data that is captured by the vehicle and is associated with physical characteristics of the area. The method includes calculating a viability value for each of the plurality of available locations. The viability value is calculated based on the physical characteristics of the area as determined from the sensor data. The method includes ranking the plurality of available locations according to the viability values of the plurality of available locations. An available location with a higher viability value is ranked above an available location with a lower viability value. The method includes sending instructions to present, on a computing device, one or more selectable locations of the plurality of available locations based on the ranking.

Abstract: In one embodiment, a method includes receiving sensor data associated with an object external to a vehicle. The sensor data includes a sequence of data packets. Each data packet corresponds to a time frame in a sequence of time frames. The method includes determining a classification of the object based at least on the sensor data, determining that a particular data packet corresponding to a particular time frame in the sequence of time frames is corrupt or missing, generating a replacement data packet based on one or more data packets that correspond to one or more time frames adjacent to the particular time frame, generating a sequence of visual representations of the object corresponding to the sequence of time frames. At least one visual representation in the sequence of visual representations corresponding to the particular time frame is generated based on the replacement data packet.

Abstract: In one embodiment, a method includes receiving sensor data from a sensor array of a vehicle while traveling on a road. The method includes determining a confidence score for a classification of an object based on the sensor data. The method includes generating an object graphic corresponding to the object based on the confidence score for the classification of the object. The method includes retrieving, from one or more third-party systems, third-party data associated with an environment in proximity to the object and associated with the road based on the classification. The method includes generating an overlay graphic corresponding to the environment in proximity to the object based on the third-party data. The method includes providing for display the object graphic rendered in association with the overlay graphic corresponding to the environment.

Abstract: The invention relates to a method for remote-control programming and to a machine control system 2 for performing the method. To refine the method so as to simplify and shorten an execution operation of a control program source yet automatically avoid version conflicts between the control program source and the compilate in the machine control system, it is proposed that the program source 3a stored in memory in the machine control system be executed by means of a programming device 1, and after the execution, the compilate of the executed program source is generated and stored in memory in the machine control system, where it is made available to a control module.

Abstract: The invention relates to a method for remote-control programming and to a machine control system 2 for performing the method. To refine the method so as to simplify and shorten an execution operation of a control program source yet automatically avoid version conflicts between the control program source and the compilate in the machine control system, it is proposed that the program source 3a stored in memory in the machine control system be executed by means of a programming device 1, and after the execution, the compilate of the executed program source is generated and stored in memory in the machine control system, where it is made available to a control module.