UGVs
Autonomous Campus Shuttle
Autonomous Navigation for Campus Shuttle Vehicle based on GNSS waypoint map and additional perception sensors like Camera, LiDAR, etc.. Camera and LiDAR are used for obstacle detection and Automatic Emergency Braking (AEB).
M1 Category Car to Pedestrian
Emergency braking in the presence of pedestrians is crucial in autonomous driving cars. Pedestrian detection system with LiDAR and cameras based on sensor fusion.
M1 Category Car to Car
Autonomous cruise control (ACC) and emergency braking (AEB) in the presence of another vehicle in front are significant features of Autonomous Driving Assistance Systems (ADAS). The front vehicle is detected and its relative position and speed are assessed using sensor fusion based LiDAR and camera.
Autonomous Bicycle
In developing countries like India, bicycles play a crucial role in last-mile connectivity. End users can use an ebike with a rideshare idea from a communal parking lot.
Campus Shuttle
GPS-based autonomous navigation system for DbW-enabled vehicles. Vehicle steering and speed control are controlled electrically by the program, which depends on required GPS navigation waypoints.
Simultaneous Localization and Mapping (SLAM)
Simultaneous Localization and Mapping (SLAM) is a process of creating a map of its surroundings and simultaneously localizing the vehicle in it. Essential functions such as path planning and obstacle avoidance are made possible by the generated maps. The vehicle can be located in real time with centimeter-level accuracy using a 3D point cloud map of campus.
Software-in-the-Loop (SIL)
M1 Category Car to Pedestrian
Autonomous Emergency Braking (AEB) for pedestrians is an in-vehicle system that automatically applies the brakes to avoid or mitigate a collision with a pedestrian.
Lateral Support System (LSS)
Lateral Support Systems test procedures are part of the Safety Assist assessment. All three emergency lane keep assist (default ON), lane keep assist and lane departure warning systems have been tested.
