Abstract: An apparatus includes a capture device and a processor. The capture device may be configured to generate pixel data corresponding to an exterior view from a vehicle. The processor may be configured to generate video frames from the pixel data, perform computer vision operations on the video frames to detect objects in the video frames and determine characteristics of the objects, analyze the characteristics with respect to the vehicle to determine visual indicators to predict an air quality and generate a control signal in response to an air quality value. The control signal may be configured to toggle an activation of an air recirculation feature of the vehicle when the air quality value reaches a threshold value. The visual indicators may be used to adjust the air quality value.

Abstract: An apparatus includes a capture device and a processor. The capture device may be configured to generate pixel data corresponding to an exterior view from a vehicle. The processor may be configured to generate video frames from the pixel data, perform computer vision operations on the video frames to detect objects in the video frames and determine characteristics of the objects, analyze the characteristics with respect to the vehicle to determine visual indicators to predict an air quality and generate a control signal in response to an air quality value. The control signal may be configured to toggle an activation of an air recirculation feature of the vehicle when the air quality value reaches a threshold value. The visual indicators may be used to adjust the air quality value.

Abstract: A view monitoring system for a vehicle, comprising four pairs of cameras, a processing unit, a visual display unit, an obstacle detection unit and a signaling unit. The four pairs of cameras may be positioned on a front, rear, and sides of the vehicle and detect images of the same number of areas near the vehicle. The processing unit may be configured to provide a single overall image of the surroundings of the vehicle in response to the images. The visual display unit may display the overall image. The obstacle detection unit may detect obstacles in the overall image. The signaling unit may signal the detected obstacles to the driver.

Abstract: A view monitoring system for a vehicle, comprising four pairs of cameras, a processing unit, a visual display unit, an obstacle detection unit and a signaling unit. The four pairs of cameras may be positioned on a front, rear, and sides of the vehicle and detect images of the same number of areas near the vehicle. The processing unit may be configured to provide a single overall image of the surroundings of the vehicle in response to the images. The visual display unit may display the overall image. The obstacle detection unit may detect obstacles in the overall image. The signaling unit may signal the detected obstacles to the driver.

Abstract: An apparatus, method for detecting critical areas and a pedestrian detection apparatus using the same are provided. An application of the pedestrian detection system is provided to help limit critical urban environment to particular areas. Contrary to traditional pedestrian detection systems that localize every pedestrians appearing in front of the subject vehicle, the apparatus first finds critical areas from urban environment and performs a focused search of pedestrians. The environment is reconstructed using a standard laser scanner but the subsequent checking for the presence of pedestrians is performed by incorporating a vision system. The apparatus identifies pedestrians within substantially limited image areas and results in boosts of timing performance, since no evaluation of critical degrees is necessary until an actual pedestrian is informed to the driver or onboard computer.

Abstract: An apparatus, method for detecting critical areas and a pedestrian detection apparatus using the same are provided. An application of the pedestrian detection system is provided to help limit critical urban environment to particular areas. Contrary to traditional pedestrian detection systems that localize every pedestrians appearing in front of the subject vehicle, the apparatus first finds critical areas from urban environment and performs a focused search of pedestrians. The environment is reconstructed using a standard laser scanner but the subsequent checking for the presence of pedestrians is performed by incorporating a vision system. The apparatus identifies pedestrians within substantially limited image areas and results in boosts of timing performance, since no evaluation of critical degrees is necessary until an actual pedestrian is informed to the driver or onboard computer.