autonomous navigation

Connected vehicles. Photo: US Department of Transportation

Augmented Reality and Computer Vision in Navigation

Mark Altaweel

The use and field of AR and computer vision are rapidly changing in how these technologies are being used in navigation.

Predicting a pedestrian's future path and activity: The green and yellow line show two possible future trajectories and two possible activities are shown in the green and yellow boxes. Depending on the future activity, the person (top right) may take different paths, e.g. the yellow path for “loading” and the green path for “object transfer”. Source: Liang et al., 2019.

Predicting Future Movements of Pedestrians and Autonomous Vehicles

Mark Altaweel

As driverless cars and motion detection technologies are increasingly integrated into our everyday lives, applications are now being developed to help with predicting movements undertaken by both pedestrians and vehicles.

Spatial Challenges of Navigating Rural Roads for Self-Driving Cars

Mark Altaweel

Researchers from MIT are testing the use of GPS and LiDAR to enable autonomous navigation in rural areas lacking detailed 3D maps.