What we produce

Aloception Bird Eye View

The BEV is an enriched representation of a navigable scene. All essential information to navigate through an environment are concentrated into one single output.

Bird Eye View

Aloception can run on various setups of vision system (monocular-based, stereo-based, multiset). It provides essential and high-value information in real time to enable a more efficient and fluid navigation.

ON-BOARD AI

monocular cameras with a board
monocular cameras with a board

ON-CAMERA AI

stereo camera with ia chip
stereo camera with ia chip

Essential information for navigation

Aloception provides four main generic layers of information for navigation. These information are the main components of the Bird Eye View. 

picto-navigablearea

Navigable areas

picto-navigablearea

Obstacle detection

picto-navigablearea

People detection

picto-slam

Localisation & Mapping

picto-navigablearea

Navigable areas

picto-navigablearea

Obstacle detection

picto-navigablearea

People detection

picto-slam

Localisation & Mapping

Same output, different environments

Rain, glare, reflective ice surface, low light/night-time, speed blur effect, and other difficult conditions have been used to train Aloception.

This variety of complex environments has been a baseline to test and ensure the relevance and the robustness of the scene understanding process.

cars detection with sun glare
cars detection by night
congested street
cars detection by night
boat detection on water
cars detection with rain
cars detection with sun glare
cars detection by night
congested street
cars detection by night
boat detection on water
cars detection with rain

Aloception Development Kit

To discover Aloception by yourself