Abstract: An autonomous electric mower for mowing a lawn comprises a frame, drive wheels, cutting deck, computer, a Lidar sensor, at least one color and depth sensing camera. The computer is programmed and operable to: determine the location of the mower; detect obstacles; and to instruct the mower to avoid the obstacles. Advantageously, the system is operable to analyze the data from the multiple sensors and to instruct the mower to continue to safely operate and cut the lawn despite one or more of the sensors being obstructed. Novel route planning methods are also described.

Abstract: An autonomous electric mower for mowing a lawn comprises a frame, drive wheels, cutting deck, computer, a Lidar sensor, at least one color and depth sensing camera. The computer is programmed and operable to: determine the location of the mower; detect obstacles; and to instruct the mower to avoid the obstacles. Advantageously, the system is operable to analyze the data from the multiple sensors and to instruct the mower to continue to safely operate and cut the lawn despite one or more of the sensors being obstructed. Novel route planning methods are also described.

Abstract: In one embodiment, a technique for performing component self-tests for an in-vehicle network of a vehicle is provided that illustratively comprises: retrieving, by a device in communication with an in-vehicle network (IVN) of a vehicle, a memory sector address of a memory of a component connected to the IVN when a first startup of the vehicle begins, the memory sector address stored in non-volatile memory; performing, by the device, a memory test on a first part of the memory starting at the memory sector address for a predetermined increment during the first startup of the vehicle; and replacing, by the device, the memory sector address with an incremented memory sector address in the non-volatile memory, the incremented memory sector address indicative of the memory sector address incremented by the predetermined increment.