Abstract: An in-vehicle system for identifying exit-only lanes and shared exit lanes on a roadway having a first camera for obtaining image data regarding lane markings on the roadway, a second camera for obtaining image data regarding exit signs, a lane marking detection module for detecting lane markings on the roadway, an exit sign detection module for detecting exit signs, and an exit sign analyzer for detecting arrows on the detected exit signs. The in-vehicle system categorizes detected lane markings as one of standard frequency dashed lane markings, high frequency dashed lane markings, and solid lane markings, and identifies an exit-only lane and a shared exit lane in response to the categorizations of the detected lane markings and characteristics of the detected arrows.

Abstract: An in-vehicle system for identifying exit-only lanes and shared exit lanes on a roadway having a first camera for obtaining image data regarding lane markings on the roadway, a second camera for obtaining image data regarding exit signs, a lane marking detection module for detecting lane markings on the roadway, an exit sign detection module for detecting exit signs, and an exit sign analyzer for detecting arrows on the detected exit signs. The in-vehicle system categorizes detected lane markings as one of standard frequency dashed lane markings, high frequency dashed lane markings, and solid lane markings, and identifies an exit-only lane and a shared exit lane in response to the categorizations of the detected lane markings and characteristics of the detected arrows.

Abstract: An in-vehicle system for identifying exit-only lanes and shared exit lanes on a roadway having a first camera for obtaining image data regarding lane markings on the roadway, a second camera for obtaining image data regarding exit signs, a lane marking detection module for detecting lane markings on the roadway, an exit sign detection module for detecting exit signs, and an exit sign analyzer for detecting arrows on the detected exit signs. The in-vehicle system categorizes detected lane markings as one of standard frequency dashed lane markings, high frequency dashed lane markings, and solid lane markings, and identifies an exit-only lane and a shared exit lane in response to the categorizations of the detected lane markings and characteristics of the detected arrows.

Abstract: An in-vehicle system for identifying exit-only lanes and shared exit lanes on a roadway having a first camera for obtaining image data regarding lane markings on the roadway, a second camera for obtaining image data regarding exit signs, a lane marking detection module for detecting lane markings on the roadway, an exit sign detection module for detecting exit signs, and an exit sign analyzer for detecting arrows on the detected exit signs. The in-vehicle system categorizes detected lane markings as one of standard frequency dashed lane markings, high frequency dashed lane markings, and solid lane markings, and identifies an exit-only lane and a shared exit lane in response to the categorizations of the detected lane markings and characteristics of the detected arrows.

Abstract: Methods and systems for obtaining a target fluid map of a survey area using a differential absorption LIDAR (DIAL) system are provided. Pulse bursts are transmitted toward the survey area, where each pulse burst includes an off-line pulse and at least one on-line pulse. Pulse bursts, each being associated with a measurement point, are received from the survey area. A concentration path length (CPL) corresponding to a respective on-line pulse, a spatial location associated with the CPL, and an error associated with the CPL are determined for each measurement point. The CPL for each measurement point is arranged within the survey area to form the target fluid map.

Abstract: A method of finding a temporal location of a reflected pulse in a system for remotely measuring characteristics of a target scene. The method includes steps of: (a) transmitting a pulse burst of two or more pulses toward the target scene; (b) capturing a copy of the pulse burst transmitted in step (a); (c) measuring an inter-pulse separation between at least two pulses in the pulse burst captured in step (b); (d) receiving a signal reflected from the target scene; (e) determining a temporal location of a first pulse in the signal received in step (d); and (f) determining a temporal location of a second pulse in the signal received in step (d) based on the inter-pulse separation measured in step (c).

Abstract: A method of compressing phase history (PH) data includes (a) dividing PH data into multiple sub-apertures; (b) transforming the sub-apertures into multiple coarse resolution images; and (c) compressing each of the coarse resolution images. Compressing each of the coarse resolution images may include (i) selecting at least one image from the coarse resolution images to form a base image, (ii) differencing each of the coarse resolution images from the base image to form residual images, and (iii) quantizing the residual images.