Abstract: A target-orientated navigation system and related method for a vehicle having a generic navigation system includes one or more processors and a memory. The memory includes one or more modules that cause the processor to receive perception data, discretize the perception data into a plurality of lattices, generate a collision probability array having a plurality of cells that correspond to the plurality of lattices, determine which cells of the collision probability array satisfy a safety criteria, receive an artificial potential field array having a plurality of cells that correspond to the plurality of cells of the collision probability array, generate, an objective score array having a plurality of cells corresponding to the cells of the collision probability array, and direct a vehicle control system of the vehicle to guide the vehicle to a location representative of a cell in the objective score array that has a highest value.

Abstract: An artificial intelligence system for an autonomous vehicle includes one or more processors and a memory in communication with the one or more processors and storing a target-orientated navigation system module. When executed, the target-orientated navigation system module causes the one or more processors to receive sensor data from one or more sensors of a vehicle, synchronize the sensor data, preprocess the synchronized sensor data by transforming the sensor data into a common data format, concatenate the transformed sensor data into a K-dimensional array, which acts as an input state array, apply a navigation policy to the input state array to estimate an action-value array, direct a vehicle control system to guide the vehicle to a location representative of a cell in the action-value array that has a highest reward value.

Abstract: Systems, methods, and other embodiments described herein relate to enhancing an output of a LiDAR sensor. In one embodiment, a method includes acquiring, using the LiDAR sensor, a point cloud and an ambient image. The method includes processing the point cloud and the ambient image to generate enhanced data according to an enhancer pipeline that includes a set of processing routines. The method includes providing the enhanced data to at least one module to facilitate generating determinations about a surrounding environment of the LiDAR sensor from the enhanced data.

Abstract: A target-orientated navigation system and related method for a vehicle having a generic navigation system includes one or more processors and a memory. The memory includes one or more modules that cause the processor to receive perception data, discretize the perception data into a plurality of lattices, generate a collision probability array having a plurality of cells that correspond to the plurality of lattices, determine which cells of the collision probability array satisfy a safety criteria, receive an artificial potential field array having a plurality of cells that correspond to the plurality of cells of the collision probability array, generate, an objective score array having a plurality of cells corresponding to the cells of the collision probability array, and direct a vehicle control system of the vehicle to guide the vehicle to a location representative of a cell in the objective score array that has a highest value.

Abstract: An artificial intelligence system for an autonomous vehicle includes one or more processors and a memory in communication with the one or more processors and storing a target-orientated navigation system module. When executed, the target-orientated navigation system module causes the one or more processors to receive sensor data from one or more sensors of a vehicle, synchronize the sensor data, preprocess the synchronized sensor data by transforming the sensor data into a common data format, concatenate the transformed sensor data into a K-dimensional array, which acts as an input state array, apply a navigation policy to the input state array to estimate an action-value array, direct a vehicle control system to guide the vehicle to a location representative of a cell in the action-value array that has a highest reward value.

Abstract: Disclosed is a mobile pavement surface scanning system for detecting pavement distress. In an embodiment the system comprises one or more light sources mounted on the mobile vehicle for illuminating a pavement, one or more stereoscopic image capturing devices mounted on the vehicle for capturing sequential images of an illuminated pavement surface, and a plurality of positioning sensors mounted on the mobile vehicle, the positioning sensors adapted to encode movement of the mobile vehicle and provide a synchronization signal for the sequential images captured by the one or more stereoscopic image capture devices.

Abstract: Disclosed is a mobile pavement surface scanning system for detecting pavement distress. In an embodiment the system comprises one or more light sources mounted on the mobile vehicle for illuminating a pavement, one or more stereoscopic image capturing devices mounted on the vehicle for capturing sequential images of an illuminated pavement surface, and a plurality of positioning sensors mounted on the mobile vehicle, the positioning sensors adapted to encode movement of the mobile vehicle and provide a synchronization signal for the sequential images captured by the one or more stereoscopic image capture devices.

Abstract: There is disclosed a mobile pavement surface scanning system and method. In an embodiment, the system comprises one or more light sources mounted on the platform for illuminating a pavement surface, one or more stereoscopic image capturing devices mounted on the platform that capture sequential images of the illuminated pavement surface and a movement sensor that encodes movement of the platform and provides a synchronization signal for time or distance synchronized image capture. One or more processors synchronize the images captured by the image capturing devices and stamps the images with one or more of time and distance data, calculate 3D elevation for each point on the pavement surface using stereoscopic principles, and assesses the quality of the pavement surface to determine the level of pavement surface deterioration.

Abstract: There is disclosed a mobile pavement surface scanning system and method, In an embodiment, the system comprises one or more stereoscopic image capturing devices synchronised with one or more light sources mounted on the platform for illuminating a pavement surface, mounted on a mobile survey platform that provides a trigger mechanism to capture sequential image pairs of the illuminated pavement surface and a movement sensor that continuously measures the movement of the platform and a synchronization signal for time or distance synchronized image capture with accurate GPS positioning. One or more computers process the synchronized images captured stamps the images with one or more of time and distance data, GPS location and calculated 3D elevation for each point on the pavement surface using stereoscopic principles, and assesses the quality of the pavement surface to determine the level of pavement surface deterioration.

Abstract: There is disclosed a mobile pavement surface scanning system and method, In an embodiment, the system comprises one or more stereoscopic image capturing devices synchronised with one or more light sources mounted on the platform for illuminating a pavement surface, mounted on a mobile survey platform that provides a trigger mechanism to capture sequential image pairs of the illuminated pavement surface and a movement sensor that continuously measures the movement of the platform and a synchronization signal for time or distance synchronized image capture with accurate GPS positioning. One or more computers process the synchronized images captured stamps the images with one or more of time and distance data, GPS location and calculated 3D elevation for each point on the pavement surface using stereoscopic principles, and assesses the quality of the pavement surface to determine the level of pavement surface deterioration.

Abstract: There is disclosed a mobile pavement surface scanning system and method, In an embodiment, the system comprises one or more stereoscopic image capturing devices synchronised with one or more light sources mounted on the platform for illuminating a pavement surface, mounted on a mobile survey platform that provides a trigger mechanism to capture sequential image pairs of the illuminated pavement surface and a movement sensor that continuously measures the movement of the platform and a synchronization signal for time or distance synchronized image capture with accurate GPS positioning. One or more computers process the synchronized images captured stamps the images with one or more of time and distance data, GPS location and calculated 3D elevation for each point on the pavement surface using stereoscopic principles, and assesses the quality of the pavement surface to determine the level of pavement surface deterioration.

Abstract: There is disclosed a mobile pavement surface scanning system and method. In an embodiment, the system comprises one or more light sources mounted on the platform for illuminating a pavement surface, one or more stereoscopic image capturing devices mounted on the platform that capture sequential images of the illuminated pavement surface and a movement sensor that encodes movement of the platform and provides a synchronization signal for time or distance synchronized image capture. One or more processors synchronize the images captured by the image capturing devices and stamps the images with one or more of time and distance data, calculate 3D elevation for each point on the pavement surface using stereoscopic principles, and assesses the quality of the pavement surface to determine the level of pavement surface deterioration.