Designed to help the driver avoid hazardous situations, driving assistant technology can be seen as an intermediary step between cars controlled by humans and automated cars. Its capacity to reduce the number of casualties on the road and its better acceptance from users compared to autonomous technology make it an interesting field of research. One crucial aspect of a safe driving behavior is the avoidance of involuntary lane changes. This situation can occur if the driver does not pay attention to his task or in the case of high-speed driving. However, lane changing can also be desired, and the driving support should then help the driver. This paper describes a proposal for a line crossing active assistant. After realizing road surface marking extraction, virtual potential fields are created from the lines defining the road lane. Assistive torques are then applied to the steering wheel and pedal of the controlled car. The intensity of the effect of this support is modulated as a function of the situation by a fuzzy logic algorithm. Finally, results obtained under real conditions tests are discussed and analyzed.
Road traffic accidents are a leading cause of avoidable deaths, especially among young persons. Because driver behavior is a major cause for these the incidents, any device able to help the driver should lower casualties. As an intermediary step between autonomous vehicles and human driven ones, active driving assistance technology can help the driver maintain a safe trajectory. Applying remote control to vehicles could also decrease the probabilities of accidents, by facilitating the reduction of the duration of the driving sessions, especially in fret transport applications, decreasing drowsiness of the driver, a factor that increases the occurrence of accidents. However, the addition of remote control conducts to a communication time delay that can be dangerous in cruising situations. This paper presents the application of an active driving assistant to compensate for the effects of the communication time delay in collision avoidance scenarios using a small-scale vehicle.