A method and a structure for an Autonomous Train Control System (ATCS) are disclosed, and are based on a plurality of autonomous train control elements that operate independent of each other. An autonomous train control element operates within an allocated track space, and based on predefined rules. Further, autonomous train control elements are paired together to exchange operational data. Pursuant to the predefined rules, an autonomous train control element acquires needed track space from a paired element, and relinquishes track space that is not required for its autonomous operation to a paired element. Further, an autonomous train control element is assigned a priority level with respect to the acquisition/relinquishment of track space.

A method and a structure for an Autonomous Train Control System (ATCS) are disclosed, and are based on a plurality of autonomous train control elements that operate independent of each other. An autonomous train control element operates within an allocated track space, and based on predefined rules. Further, autonomous train control elements are paired together to exchange operational data. Pursuant to the predefined rules, an autonomous train control element acquires needed track space from a paired element, and relinquishes track space that is not required for its autonomous operation to a paired element. Further, an autonomous train control element is assigned a priority level with respect to the acquisition/relinquishment of track space.

Provided are a surveillance system, an information processing device, a fall detection method, and a non-transitory computer readable medium capable of improving the accuracy of detecting a person who has fallen down in a railroad crossing. A surveillance system according to the present disclosure includes a LiDAR sensor (10) that emits a plurality of laser beams with different ranges to a surveillance area, and outputs a detection signal indicating a detection status of an object by each of the laser beams, and an information processing device (20) that determines that the object has fallen down when the detection status by a laser beam with a shorter range than a predetermined range indicates that the object is detected and the number of laser beams detecting the object decreases.

Provided are a surveillance system, an information processing device, a fall detection method, and a non-transitory computer readable medium capable of improving the accuracy of detecting a person who has fallen down in a railroad crossing. A surveillance system according to the present disclosure includes a LiDAR sensor (10) that emits a plurality of laser beams with different ranges to a surveillance area, and outputs a detection signal indicating a detection status of an object by each of the laser beams, and an information processing device (20) that determines that the object has fallen down when the detection status by a laser beam with a shorter range than a predetermined range indicates that the object is detected and the number of laser beams detecting the object decreases.

Provided are a surveillance system, an information processing device, a fall detection method, and a non-transitory computer readable medium capable of improving the accuracy of detecting a person who has fallen down in a railroad crossing. A surveillance system according to the present disclosure includes a LiDAR sensor (10) that emits a plurality of laser beams with different ranges to a surveillance area, and outputs a detection signal indicating a detection status of an object by each of the laser beams, and an information processing device (20) that determines that the object has fallen down when the detection status by a laser beam with a shorter range than a predetermined range indicates that the object is detected and the number of laser beams detecting the object decreases.

Provided are a surveillance system, an information processing device, a fall detection method, and a non-transitory computer readable medium capable of improving the accuracy of detecting a person who has fallen down in a railroad crossing. A surveillance system according to the present disclosure includes a LiDAR sensor (10) that emits a plurality of laser beams with different ranges to a surveillance area, and outputs a detection signal indicating a detection status of an object by each of the laser beams, and an information processing device (20) that determines that the object has fallen down when the detection status by a laser beam with a shorter range than a predetermined range indicates that the object is detected and the number of laser beams detecting the object decreases.