In this thesis, I consider the problem of designing a collision avoidance system for the scenario in which two cars approach an intersection from perpendicular directions. One of the cars is a human driven vehicle, and the other one is a semi-autonomous vehicle, equipped with a driver-assist system. The driver-assist system should warn the driver of the semi-autonomous vehicle to brake or accel...

Lane detection is an important element in improving driving safety. In this paper, we propose a real-time and illumination invariant lane detection method for lane departure warning system. The proposed method works well in various illumination conditions such as in bad weather conditions and at night time. It includes three major components: First, we detect a vanishing point based on a voting...

Driving support systems, such as car navigation systems are becoming common and they support driver in several aspects. Non-intrusive method of detecting Fatigue and drowsiness based on eye-blink count and eye directed instruction controlhelps the driver to prevent from collision caused by drowsy driving. Eye detection and tracking under various conditions such as illumination, background, face...

This Project focuses mainly on road accidents occurring due to poor indication of sign boards, drowsy state and drunken state of drivers in both two wheelers and four wheelers. The eye blink sensor detects the drowsy state and alarms the driver using buzzer .The alcohol sensor detects the alcohol from breath and stops the engine by micro controller immediately .The light sensor detects the inte...

On November 20-21, 2002, the National Sleep Foundation (NSF), a U.S.-based non-profit organization, and a coalition of other organizations, federal agencies and corporations convened a National Summit to Prevent Drowsy Driving at the National Academy of Sciences in Washington, DC. The Summit brought together experts in the fields of transportation, safety and health, sleep research, and communi...

Drowsy driving causes many accidents. Driver alertness and automobile control are challenged. Thus, a driver drowsiness detection system is becoming necessity. In fact, invasive approaches that analyze electroencephalography signals with head electrodes inconvenient for drivers. Other non-invasive fatigue studies focus on yawning or eye blinks. The analysis of several facial components has yiel...

Accidents with mining dump trucks are still common, especially those small vehicles located in locations. The limited visibility of the driver large truck to see around it cause these accidents. This paper presents a vehicle detection system prototype designed improve truck’s driver. works by initially detecting 433 MHz radio frequency, which indicates is truck. A buzzer sound, controlled Fuzzy...

The number of cars on the roads increases with every passing year. Unfortunately, the number of accidents tends to be proportional with this increase. Nowadays, many vehicles are augmented with conventional driver assistance systems (DAS) such as: sensorial-informative (rear-view alarm, radar, lane departure warning system, etc.), actuation-corrective (anti braking system – ABS, emergency braki...