Abstract: A navigation system for a host vehicle may include a processor programmed to determine at least one indicator of ego motion of the host vehicle. A processor may be also programmed to receive, from a LIDAR system, a first point cloud including a first representation of at least a portion of an object and a second point cloud including a second representation of the at least a portion of the object. The processor may further be programmed to determine a velocity of the object based on the at least one indicator of ego motion of the host vehicle, and based on a comparison of the first point cloud, including the first representation of the at least a portion of the object, and the second point cloud, including the second representation of the at least a portion of the object.

Abstract: In an embodiment, a computer-implemented method combines data from a lidar sensor and camera. A point cloud collected from the lidar sensor is received. The lidar sensor is mounted on a vehicle. A plurality of lines of points from the point cloud are identified such that each of the identified plurality of lines of points is at a substantially different angle from a plane of a road the vehicle is driving on. An image captured from the camera is received. The camera is mounted on the vehicle, the image having been captured substantially simultaneously with the point cloud. Using an image analysis algorithm, a plurality of objects in the image are identified. Respective objects from the plurality of objects are correlated with the identified plurality of lines of points.

Abstract: Lidar produces three-dimensional point clouds. From the point clouds, objects need to be detected and tracked. For example, from the point clouds, embodiments detect what kind of objects is detected, what shape the object is, and the objects current location and trajectory. Each lidar sensor on a vehicle produces a point cloud periodically. The point cloud is input into a deep learning neural network that outputs road geometry, such as road edges and lane dividers. In some embodiments, the other network can also output information about other objects in the environment, such as other vehicles and pedestrians.

Abstract: Systems and methods for navigating a host vehicle based on RADAR-camera fusion are disclosed. In one implementation, a system includes a processor configured to receive images acquired by a camera onboard the host vehicle; identify a representation of a target vehicle in one of the images; receive from a RADAR system an indicator of a range between the host vehicle and the target vehicle; based on analysis of the images, identify in the image a ground intersection point associated with the target vehicle and a road surface; and determine an elevation value for the road surface based on the indicator of the range between the host vehicle and the target vehicle, the determined ground intersection point, and an angle of inclination between an optical axis of the camera and a ray directed toward a location of the ground intersection point.

Abstract: A navigation system for a host vehicle may include a processor programmed to: receive from a camera onboard the host vehicle at least one captured image representative of an environment of the host vehicle, wherein the camera is positioned at a first location relative to the host vehicle; receive point cloud information from a LIDAR system onboard the host vehicle, wherein the LIDAR system is positioned at a second location relative to the host vehicle; analyze the at least one captured image and the received point cloud information to detect one or more objects in the shared field of view region; determine whether a vantage point difference between the first location of the camera and the second location of the LIDAR system accounts for the one or more detected objects being represented in only one of the at least one captured image or the received point cloud information.

Abstract: A method for assembling an electricity production structure including a plurality of floating modules, each having a frame and at least one photovoltaic panel, the structure further including at least one tarpaulin stretched under the panels of the modules, the method includes the steps of: supplying a first module with at least one tarpaulin having a main direction and being fixed to said frame in an initial folded or rolled-up configuration enabling deployment of a length of the tarpaulin in the main direction starting from said initial configuration, positioning at least one additional module adjacent to the first module in the main direction of the tarpaulin, assembling the modules, and deploying, tensioning, and fixing each tarpaulin of the first module to the frame of a module other than the first module.

Abstract: A navigation system for a host vehicle may include a processor programmed to: receive, from an entity remotely located relative to the host vehicle, a sparse map associated with at least one road segment to be traversed by the host vehicle; receive point cloud information from a LIDAR system onboard the host vehicle, the point cloud information being representative of distances to various objects in an environment of the host vehicle; compare the received point cloud information with at least one of the plurality of mapped navigational landmarks in the sparse map to provide a LIDAR-based localization of the host vehicle relative to at least one target trajectory; determine an navigational action for the host vehicle based on the LIDAR-based localization of the host vehicle relative to the at least one target trajectory; and cause the at least one navigational action to be taken by the host vehicle.

Abstract: A navigation system for a host vehicle may include a processor programmed to determine at least one indicator of ego motion of the host vehicle. A processor may be also programmed to receive, from a LIDAR system, a first point cloud including a first representation of at least a portion of an object and a second point cloud including a second representation of the at least a portion of the object. The processor may further be programmed to determine a velocity of the object based on the at least one indicator of ego motion of the host vehicle, and based on a comparison of the first point cloud, including the first representation of the at least a portion of the object, and the second point cloud, including the second representation of the at least a portion of the object.

Abstract: A navigation system for a host vehicle may include a processor programmed to: receive from a camera onboard the host vehicle at least one captured image representative of an environment of the host vehicle, wherein the camera is positioned at a first location relative to the host vehicle; receive point cloud information from a LIDAR system onboard the host vehicle, wherein the LIDAR system is positioned at a second location relative to the host vehicle; analyze the at least one captured image and the received point cloud information to detect one or more objects in the shared field of view region; determine whether a vantage point difference between the first location of the camera and the second location of the LIDAR system accounts for the one or more detected objects being represented in only one of the at least one captured image or the received point cloud information.

Abstract: A lift for putting a handicapped person into the water of a swimming bath or pool comprises a top plate, a bottom plate, a base plate secured to the ground, a fixed support post mounted on the base plate and comprising a steel tube welded to the top plate and a stainless steel tubular shaft centered in the steel tube, a rotation block rotatably mounted on the tubular shaft, and a guide column or plate. The rotation block comprises a frame provided at the rear with concentric bearings pivoting around the tubular shaft, a bearing plate positioned inside the frame, a rod mounted on and secured to the tubular shaft, and a horizontal jack mounted at its rear end to the bearing plate. The nose of the jack is connected to the rod for pivotally mounting the rotation block on the tubular shaft.

Abstract: A device for enabling persons with reduced mobility to enter and leave a bath tub comprises an upper collar, a lower collar, a vertical column secured to the ceiling by the upper collar and to the floor by the lower collar, a jack for holding the column under compression for making the column completely rigid, and a support assembly mounted on the column for pivotal and vertical sliding motion. The support assembly comprises a member having first and second ends and a bend therein, a guide tube secured in the bend and having a side surface, first and second guide rings disposed in the first and second ends, respectively, of the member, a water-activated jack in fluid communication with the water tap of the bath tub and secured to a side surface of the guide tube, a roller mounted on the jack and resting on a track in the lower collar, and a seat supported on a seat supporting arm mounted in a bracket secured to the back of the support assembly.