Surface penetrating radar interrogates a region adjacent a pathway of the vehicle in response to activation by a user. An object detection system which is responsive to the radar transceiver is configured to recognize one or more spatial signatures of one or more detected objects in the region. A controller coupled to the radar transceiver and the object detection system is configured to (i) compare a respective spatial signature of at least one of the detected objects to a plurality of predetermined target signatures to detect an infrastructure asset, (ii) assess a perimeter around the detected infrastructure asset to estimate a severity of an obstruction blocking the infrastructure asset, and (iii) convey an alert message to the user when the estimated severity is greater than a threshold.

A distance measurement device includes: a first acquisition unit configured to acquire first distance information; a second acquisition unit configured to acquire second distance information; a first correction value generation unit configured to calculate a first correction value for correcting the first distance information based on the second distance information; a reliability score determination unit configured to calculate a reliability score indicating a reliability of the first correction value and determine the reliability of the first correction value based on the reliability score; a second correction value generation unit configured to generate a second correction value from the first correction value whose reliability score is equal to or greater than a predetermined threshold and which is acquired within a predetermined valid time interval; and a correction unit configured to correct the first distance information using the second correction value.

A LIDAR system includes a light source projecting laser light toward a field of view, a sensor detecting reflections from objects, and a processor. The processor generates point-cloud representations of the environment, outputs navigational information to vehicle processors, and stores the point-cloud representations in a memory as a point-cloud archive. Upon detecting a point-cloud archive output triggering event, the processor collects two or more point-clouds from the archive that were generated within a predetermined period of time relative to the detected event, and outputs them from the memory.

The disclosure provides a vehicle lighting system with display interaction information, including a vehicle lamp, a display, and a control device. The vehicle lamp includes a housing and a light source within the housing for emits light, the vehicle lamp is arranged according to vehicle regulations; the display is within the housing. The control device includes one or more processor configured to: acquire a decision of a currently executed operation of the vehicle and perception information; determine whether to illuminate the display or not based on the decision of the currently executed operation of the vehicle; determine content to be displayed based on the perception information, and control the display to display the content; the content displayed on the display being selected from a plurality of predetermined contents to demonstrate the decision of the currently executed operation of the vehicle for interaction with an external object.

The apparatus comprises an acquiring unit configured to acquire environmental information regarding at least one of environment around a current location of a moving object, and environment ahead of the moving object in a travel direction, the moving object being capable of moving by unmanned driving; and a generating unit configured to generate value data using the acquired environmental information, the value data including at least one of a braking control value, a braking correction value, a work control value, a work setting value, and a work correction value.

Systems and methods for autonomous-vehicle navigation integrating path planning with a perception network. A Bird's Eye View costmap is generated at runtime using only onboard sensors. No external localization providers are used.

Disclosed herein are system, method, and computer program product embodiments for detecting, alerting, and acting to prevent unattended vehicle deaths. An embodiment operates by receiving one or more signals from one or more presence sensors in a vehicle and analyzing the signals to detect the presence of a person or animal inside the vehicle. The system further receives one or more signals from one or more environment sensors on the vehicle and analyzes the signals to detect a dangerous environmental condition. If the system determines that both the presence of a person or animal has been detected inside the vehicle and a dangerous environmental condition has been detected, it activates one or more vehicle systems that mitigate the dangerous environmental condition and sends an alert to one or more predetermined recipients.