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R. Karnik Ram

2 accepted papers

2019

INFER: INtermediate representations for FuturE pRediction

IROS 2019poster

In urban driving scenarios, forecasting future trajectories of surrounding vehicles is of paramount importance. While several approaches for the problem have been proposed, the best-performing ones tend to require extremely detailed input representations (e.g. image sequences). As a result, such met…

Cited by 57SourceScholar
2018

CalibNet: Geometrically Supervised Extrinsic Calibration using 3D Spatial Transformer Networks

IROS 2018poster

3D LiDARs and 2D cameras are increasingly being used alongside each other in sensor rigs for perception tasks. Before these sensors can be used to gather meaningful data, however, their extrinsics (and intrinsics) need to be accurately calibrated, as the performance of the sensor rig is extremely se…

Cited by 231SourcecodeScholar