A stereo vision system for an autonomous vehicle, the stereo vision system comprising: a housing defining a cavity and at least one exterior surface; a unitary frame within the cavity, the unitary frame defining at least one mounting surface; a first imager , mounted to the at least one mounting surface, to acquire images of an environment from a first perspective; a second imager , mounted to the at least one mounting surface, to acquire images of the environment from a second perspective different than the first perspective; a LIDAR system ; and a processing unit disposed within the housing, and operable to: obtain a three-dimensional point cloud of the environment from the IDAR system; generate a first disparity map based on the images acquired by the first imager and second imager ; calibrate each of the first imager and the second imager, by using the three-dimensional point cloud to produce a simulated disparity map and by determining a similarity between the simulated disparity map and the first disparity map; generate a second disparity map based on images acquired by the calibrated first imager and the calibrated second imager; and determine a position of one or more objects based on the images acquired by the calibrated first imager , the calibrated second imager ; the second disparity map and the three-dimensional point cloud. a housing defining a cavity and at least one exterior surface; a unitary frame within the cavity, the unitary frame defining at least one mounting surface; a first imager , mounted to the at least one mounting surface, to acquire images of an environment from a first perspective; a second imager , mounted to the at least one mounting surface, to acquire images of the environment from a second perspective different than the first perspective; a LIDAR system ; and a processing unit disposed within the housing, and operable to: obtain a three-dimensional point cloud of the environment from the IDAR system; generate a first disparity map based on the images acquired by the first imager and second imager ; calibrate each of the first imager and the second imager, by using the three-dimensional point cloud to produce a simulated disparity map and by determining a similarity between the simulated disparity map and the first disparity map; generate a second disparity map based on images acquired by the calibrated first imager and the calibrated second imager; and determine a position of one or more objects based on the images acquired by the calibrated first imager , the calibrated second imager ; the second disparity map and the three-dimensional point cloud. obtain a three-dimensional point cloud of the environment from the IDAR system; generate a first disparity map based on the images acquired by the first imager and second imager ; calibrate each of the first imager and the second imager, by using the three-dimensional point cloud to produce a simulated disparity map and by determining a similarity between the simulated disparity map and the first disparity map; generate a second disparity map based on images acquired by the calibrated first imager and the calibrated second imager; and determine a position of one or more objects based on the images acquired by the calibrated first imager , the calibrated second imager ; the second disparity map and the three-dimensional point cloud. <EOS>