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20202023
most citedObservability-aware online multi-lidar extrinsic calibration

16 citations · 25 across the 7 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.RO2022★ 16 cited

Observability-aware online multi-lidar extrinsic calibration

Sandipan Das, Ludvig af Klinteberg, Maurice Fallon +1

Accurate and robust extrinsic calibration is necessary for deploying autonomous systems which need multiple sensors for perception. In this paper, we present a robust system for re…

cs.RO2022★ 5 cited

M-LIO: Multi-lidar, multi-IMU odometry with sensor dropout tolerance

Sandipan Das, Navid Mahabadi, Maurice Fallon +1

We present a robust system for state estimation that fuses measurements from multiple lidars and inertial sensors with GNSS data. To initiate the method, we use the prior GNSS pose…

cs.LG2022★ 3 cited

Neural Greedy Pursuit for Feature Selection

Sandipan Das, Alireza M. Javid, Prakash Borpatra Gohain +2

We propose a greedy algorithm to select important features among input features for a non-linear prediction problem. The features are selected one by one sequentially, in a…

cs.RO2022

Extrinsic Calibration and Verification of Multiple Non-overlapping Field of View Lidar Sensors

Sandipan Das, Navid Mahabadi, Addi Djikic +3

We demonstrate a multi-lidar calibration framework for large mobile platforms that jointly calibrate the extrinsic parameters of non-overlapping Field-of-View (FoV) lidar sensors,…

cs.CV2022★ 1 cited

Multi-modal curb detection and filtering

Sandipan Das, Navid Mahabadi, Saikat Chatterjee +1

Reliable knowledge of road boundaries is critical for autonomous vehicle navigation. We propose a robust curb detection and filtering technique based on the fusion of camera semant…