Abstract: A system for identifying an aspect of interest on a vehicle that includes a local AI system that can analyze sensor data from an on-site sensor to make an attempt to identify the aspect of interest according to first criterion. The aspect of interest can be information printed on the vehicle and/or on a seal of the vehicle. If the local AI system is unable to identify and validate the information on the first effort, it can consult with a central/global AI system that can leverage its own database and other local systems at other locations for subsequent attempts at identifying and validating the aspects of interest.

Abstract: A system for identifying an aspect of interest on a vehicle that includes a local AI system that can analyze sensor data from an on-site sensor to make an attempt to identify the aspect of interest according to first criterion. The aspect of interest can be information printed on the vehicle and/or on a seal of the vehicle. If the local AI system is unable to identify and validate the information on the first effort, it can consult with a central/global AI system that can leverage its own database and other local systems at other locations for subsequent attempts at identifying and validating the aspects of interest.

Abstract: A spatial monitoring system for a vehicle includes a LiDAR sensor, sensors arranged to monitor ambient environmental states, sensors arranged to monitor vehicle operating conditions, and a controller. The controller includes an instruction set that is executable to monitor the ambient environmental states and the vehicle operating conditions. The LiDAR sensor captures a point cloud, and the instruction set is executable to determine point cloud metrics. Desired control parameters for the LiDAR sensor are determined based upon the ambient environmental conditions, the vehicle operating conditions, and the point cloud metrics, and the LiDAR sensor is controlled based upon the desired control parameters. The LiDAR sensor is controlled to capture an image of a field-of-view proximal to the vehicle based upon the desired control parameters.

Abstract: A spatial monitoring system for a vehicle includes a LiDAR sensor, sensors arranged to monitor ambient environmental states, sensors arranged to monitor vehicle operating conditions, and a controller. The controller includes an instruction set that is executable to monitor the ambient environmental states and the vehicle operating conditions. The LiDAR sensor captures a point cloud, and the instruction set is executable to determine point cloud metrics. Desired control parameters for the LiDAR sensor are determined based upon the ambient environmental conditions, the vehicle operating conditions, and the point cloud metrics, and the LiDAR sensor is controlled based upon the desired control parameters. The LiDAR sensor is controlled to capture an image of a field-of-view proximal to the vehicle based upon the desired control parameters.