Car Multimedia System Android Blueprint - Rinse And Repeat

It was also released with a speed assist feature where the front facing camera reads the traffic speed limits using the technology of computer vision character recognition system, and then conveys it to the car. The computer recognizes that the driver is "locked into" a particular lane, monitors how sharp a curve is, and uses factors such as yaw and vehicle speed to calculate the steering input required. A lane detection system used behind the lane departure warning system uses the principle of Hough transform and Canny edge detector to detect lane lines from realtime camera images fed from the front-end camera of the automobile. This feature utilizes the vehicle stability control system to help assist the driver maintain lane position by applying gentle brake pressure on the appropriate wheels. If the radar cruise control system is engaged, the Lane Keep function works to help reduce the driver's steering-input burden by providing steering torque; however, the driver must remain active or the system will deactivate. It also applies counter-steering torque to help ensure the driver does not over-correct or "saw" the steering wheel while attempting to return the vehicle to its proper lane.

A similar technology to lane assist is used to do autopark feature as well. The systems used by BMW, Volvo, and General Motors are based on core technology from Mobileye. Viewnyx applies video-based technology to assist fleets in lowering their driving liability costs. If the driver/worker conditions is such as the hourly rates for driving and working outside is not the same, this can be monitored by sensors, by using iButton or other personal identification devices. Mobileye developed a system that detected lane markings, and identified when a vehicle departed from its driving lane without the use of the turn signal. A lane keeping assist mechanism can either reactively turn a vehicle back into the lane if it starts to leave or proactively keep the vehicle in the center of the lane. This system is canceled when a turn signal is operating, or by pressing a deactivation switch on the dashboard; it works by using an optical sensor on both sides of the car.

Real-time image processing using powerful computers like Nvidia's Drive PX1 are being used by many vehicle OEMs to achieve fully autonomous vehicles in which lane detection algorithm plays a key part. The lane keeping assist system is being achieved in modern vehicle systems using image processing techniques called Hough transform and Canny edge detection techniques. Nvidia has achieved high accuracy in developing self-driving features including lane keeping using the neural network based training mechanism in which they use a front facing camera in a car and run it through a route and then uses the steering input and camera images of the road fed into the neural network and make it 'learn'. This system uses infrared sensors to monitor lane markings on the road surface, and a vibration mechanism in the seat alerts the driver of deviations. The neural network then will be able to change the steering angle based on the lane change on the road and keep the car in the middle of the lane.

2. The ABS controller knows that such a rapid deceleration of the car is impossible (and in actuality the rapid deceleration means the wheel is about to slip), so it reduces the pressure to that brake until it sees an acceleration, then it increases the pressure until it sees the deceleration again. In this open system approach, the fluid is then brought back in the brake circuit via a pump operated by a motor that is felt through pulsation on the brake lever. An approved immobilizer uses a three circuit isolation system which can thwart even an experienced thief. Tesla uses the most advanced lane assist system (kind of LKA) combined with their adaptive cruise control system marketed together as 'Autopilot'. Another feature will automatically deactivate and reactivate if it ascertains the driver is intentionally leaving his lane (for instance, aggressively cornering). Also in 2004, Toyota added a lane keeping assist feature to the Crown Majesta which can apply a small counter-steering force to aid in keeping the vehicle in its lane. These advanced image processing techniques derive lane data from forward facing cameras attached to the front of the vehicle.