Automated Incident Detection (AID) systems for highway, bridge and tunnel monitoring considerably reduces response and clearing times, as well as road congestion — improving overall safety and efficiency. However, current technologies, such as cameras, radars, and loops, have significant limitations. Cameras and radars do not have the versatility to adapt to changing traffic and environmental conditions. Therefore, they are not equipped to provide the highly accurate data needed to detect traffic disruptions or incidents in real time. To put it simply: successful operation of AID applications cannot rely on legacy sensors.
4Sight™ M is a software-defined lidar sensor that leverages AEye’s Intelligent Sensing Platform to enable perception to better locate, identify and track objects over time. It is specifically designed to complement cameras, radars, and loops in existing AID applications, dramatically improving data collection speed and quality.
The 4Sight™ perception engine provides accurate, high-quality road and traffic data in real time to support a diverse range of Automated Incident Detection (AID) applications.
Wrong way detection
Objects on roadway
Road congestion and occupancy level
Vehicle type classification
Stopped vehicles
Pedestrians/bicycles on roadway
Vehicles under speed and overspeed
Up to 350m per sensor
AEye’s 4Sight™ perception solution defines the future of Automated Incident Detection performance.
4Sight™ M + perception monitoring 12 lanes of highway up to 300m
