Abstract: A method and system is provided for a semi-autonomous vehicle to have optional routes that vary in an amount of autonomous driving offered. The system performs processes including aggregating data from various sources to thereby position and orient the vehicle, assigning an autonomous driving value to different route segments, determining an optimal route by minimizing a distance between a start position and a destination position and maximizing the percent autonomous value assigned, and displaying the optimal route.

Abstract: A method and system is provided for a semi-autonomous vehicle to have optional routes that vary in an amount of autonomous driving offered. The system performs processes including aggregating data from various sources to thereby position and orient the vehicle, assigning an autonomous driving value to different route segments, determining an optimal route by minimizing a distance between a start position and a destination position and maximizing the percent autonomous value assigned, and displaying the optimal route.

Abstract: An in-vehicle system for estimating a lane boundary based on raised pavement markers that mark the boundary. The in-vehicle system includes a camera for obtaining image data regarding reflective raised pavement markers and non-reflective raised pavement markers, an image processor for processing frames of image data captured by the camera, a lidar detector for obtaining lidar data regarding reflective raised pavement markers, and a lidar processor for processing frames of lidar data captured by the lidar detector. The image processor generates a first probabilistic model for the lane boundary and the lidar processor generates a second probabilistic model for the lane boundary. The in-vehicle system fuses the first probabilistic model and the second probabilistic model to generate a fused probabilistic model and estimates the lane boundary based on the fused probabilistic model.

Abstract: A method of treating or preventing retinitis pigmentosa, wherein the method comprises administering an adeno-associated virus (AAV) vector comprising a nucleotide sequence encoding ciliary neurotrophic factor (CNTF) to a subject in need thereof.

Abstract: An in-vehicle system for estimating a lane boundary based on raised pavement markers that mark the boundary. The in-vehicle system includes a camera for obtaining image data regarding reflective raised pavement markers and non-reflective raised pavement markers, an image processor for processing frames of image data captured by the camera, a lidar detector for obtaining lidar data regarding reflective raised pavement markers, and a lidar processor for processing frames of lidar data captured by the lidar detector. The image processor generates a first probabilistic model for the lane boundary and the lidar processor generates a second probabilistic model for the lane boundary. The in-vehicle system fuses the first probabilistic model and the second probabilistic model to generate a fused probabilistic model and estimates the lane boundary based on the fused probabilistic model.

Abstract: A method for checking the visibility of a camera for surroundings of an automobile is proposed which includes receiving a camera image and a step of dividing the camera image into a plurality of partial images. A visibility value is determined based on a number of objects detected in the particular partial image. A visibility probability is subsequently determined for each of the partial images based on the blindness values and the visibility values of the particular partial images.

Abstract: A method for checking the visibility of a camera for surroundings of an automobile is proposed which includes receiving a camera image and a step of dividing the camera image into a plurality of partial images. A visibility value is determined based on a number of objects detected in the particular partial image. A visibility probability is subsequently determined for each of the partial images based on the blindness values and the visibility values of the particular partial images.