Abstract: An autonomous vehicle includes interior sensors including a camera, IR camera, electro-chemical sensor, humidity sensor, and temperature sensor. Initial and final outputs of these sensors are captured for a trip conveying one or more passengers. If changes in the outputs of the sensors are detected, whether the final outputs of the sensors are acceptable may be evaluated. In some embodiments, an aggregation of the outputs is evaluated and found unacceptable even where individual outputs are acceptable. Outputs may be presented to a dispatcher to confirm that the outputs are unacceptable. If the outputs are found to be unacceptable, the vehicle may be autonomously driven to a cleaning station. Personal items may be identified in camera outputs and alerts generated in response.

Abstract: An autonomous vehicle includes interior sensors including a camera, IR camera, electro-chemical sensor, humidity sensor, and temperature sensor. Initial and final outputs of these sensors are captured for a trip conveying one or more passengers. If changes in the outputs of the sensors are detected, whether the final outputs of the sensors are acceptable may be evaluated. In some embodiments, an aggregation of the outputs is evaluated and found unacceptable even where individual outputs are acceptable. Outputs may be presented to a dispatcher to confirm that the outputs are unacceptable. If the outputs are found to be unacceptable, the vehicle may be autonomously driven to a cleaning station. Personal items may be identified in camera outputs and alerts generated in response.

Abstract: The present invention extends to methods, systems, and computer program products for optimizing selection of battery electric vehicles to perform delivery tasks. Within a group of battery electric vehicles (“BEVs”), a BEV is selected to perform a delivery task based on battery charge status. The BEV can be selected based on one or more of: proximity to a requested pick up location, battery state-of-charge (“SOC”), charging station proximity to a requested delivery location, and charging station port availability (e.g., wait time to access a charging port). BEV selection can be optimized such that a BEV arrives at a charging station with optimal remaining SOC. Thus, the distance to charging stations can be optimized while meeting the needs of customer requests to get a delivery from a pickup location to delivery location. In some aspects, autonomous vehicle technology is used to operate BEV's.