Advanced driver assistance systems, ADAS, have shown the possibility to anticipate crash accidents and effectively assist road users in critical traffic situations. This is not the case for motorcyclists, in fact ADAS for motorcycles are still barely developed. Our aim was to study a camera-based sensor for the application of preventive safety in tilting vehicles. We identified two road conflict situations for which automotive remote sensors installed in a tilting vehicle are likely to fail in the identification of critical obstacles. Accordingly, we set two experiments conducted in real traffic conditions to test our stereo vision sensor. Our promising results support the application of this type of sensors for advanced motorcycle safety a...
A reliable perception of the real world is a key-feature for an autonomous vehicle and the Advanced ...
ABSTRACT−This paper describes a real-time vision-based blind spot warning system that has been speci...
International audienceThe present study aims at identifying existing and emerging Intelligent Transp...
Advanced driver assistance systems, ADAS, have shown the possibility to anticipate crash accidents a...
Tilting vehicles, such as electric bicycles, motorcycles, and scooters, are increasing in popularity...
Road safety is an important problem that still afflicts our city roads, even though a lot of work ha...
Motorcycles are one of the most dangerous means of transportation. Its death toll is higher than in ...
Motorcyclists and moped drivers are road users with a particularly high accident risk since motorcyc...
Red light cameras (RLC) have been used to reduce right-angle collisions at signalized intersections....
This paper presents a high accuracy stereovision sensor for 3D lane and obstacle detection in traffi...
Safety has become one of the most important fields to develop for the vehicle industry. Both in the ...
Motorcycles are overrepresented in road traffic crashes and particularly vulnerable at signalized in...
Advanced driver assistance systems (ADAS) support the driver's decision making to increase safe...
Statistics show that worldwide motor vehicle collisions lead to significant death and disability as ...
Statistics show that automotive accidents occur regularly as a result of blind-spots and driver inat...
A reliable perception of the real world is a key-feature for an autonomous vehicle and the Advanced ...
ABSTRACT−This paper describes a real-time vision-based blind spot warning system that has been speci...
International audienceThe present study aims at identifying existing and emerging Intelligent Transp...
Advanced driver assistance systems, ADAS, have shown the possibility to anticipate crash accidents a...
Tilting vehicles, such as electric bicycles, motorcycles, and scooters, are increasing in popularity...
Road safety is an important problem that still afflicts our city roads, even though a lot of work ha...
Motorcycles are one of the most dangerous means of transportation. Its death toll is higher than in ...
Motorcyclists and moped drivers are road users with a particularly high accident risk since motorcyc...
Red light cameras (RLC) have been used to reduce right-angle collisions at signalized intersections....
This paper presents a high accuracy stereovision sensor for 3D lane and obstacle detection in traffi...
Safety has become one of the most important fields to develop for the vehicle industry. Both in the ...
Motorcycles are overrepresented in road traffic crashes and particularly vulnerable at signalized in...
Advanced driver assistance systems (ADAS) support the driver's decision making to increase safe...
Statistics show that worldwide motor vehicle collisions lead to significant death and disability as ...
Statistics show that automotive accidents occur regularly as a result of blind-spots and driver inat...
A reliable perception of the real world is a key-feature for an autonomous vehicle and the Advanced ...
ABSTRACT−This paper describes a real-time vision-based blind spot warning system that has been speci...
International audienceThe present study aims at identifying existing and emerging Intelligent Transp...