Abstract: An autonomous cart moves products and materials in an industrial environment. It is different from conventional carts because it can navigate autonomously indoors or outdoors in dynamic environments where things change frequently. This autonomous cart uses state-of-the-art “dense” visual perception giving it unequalled and continuous awareness of its surroundings. With this it can operate at a cost, speed, level of safety and efficiency that has never been possible before. This robotic cart makes factories and warehouses more efficient and safer. It enables the movement of smaller batches of material more frequently, reduces the need for expensive conveyor systems, and helps eliminate dangerous and polluting fork trucks from indoor environments.

Abstract: An autonomous cart moves products and materials in an industrial environment. It is different from conventional carts because it can navigate autonomously indoors or outdoors in dynamic environments where things change frequently. This autonomous cart uses state-of-the-art “dense” visual perception giving it unequalled and continuous awareness of its surroundings. With this it can operate at a cost, speed, level of safety and efficiency that has never been possible before. This robotic cart makes factories and warehouses more efficient and safer. It enables the movement of smaller batches of material more frequently, reduces the need for expensive conveyor systems, and helps eliminate dangerous and polluting fork trucks from indoor environments.

Abstract: The disclosure provides systems and methods of use pertaining to a visual mapping and transportation management system for determining a location of a user and directing a vehicle to the user's location. Embodiments include a navigation application installed upon a user's mobile computing device and configured to transmit a user image from the device to an image-matching server storing a map composed of keyframes, each having a stored image, a known geometric pose, and numerous extracted interest features. The server also includes a processor configured to extract interest features from the user image, compare the interest features between the user image and the stored images, identify common interest features between the two, and based on the common interest features and known geometric poses of the stored images, determine a global geometric pose of the user image before directing the vehicle to the user's location. Other embodiments are also disclosed.

Abstract: The disclosure provides systems and methods of use pertaining to a visual mapping and transportation management system for determining a location of a user and directing a vehicle to the user's location. Embodiments include a navigation application installed upon a user's mobile computing device and configured to transmit a user image from the device to an image-matching server storing a map composed of keyframes, each having a stored image, a known geometric pose, and numerous extracted interest features. The server also includes a processor configured to extract interest features from the user image, compare the interest features between the user image and the stored images, identify common interest features between the two, and based on the common interest features and known geometric poses of the stored images, determine a global geometric pose of the user image before directing the vehicle to the user's location. Other embodiments are also disclosed.