11 citations · 12 across the 4 of their papers we have counts for
5 papers · 1 filter
UAP-BEV: Uncertainty Aware Planning using Bird's Eye View generated from Surround Monocular Images
Vikrant Dewangan, Basant Sharma, Tushar Choudhary +4
Autonomous driving requires accurate reasoning of the location of objects from raw sensor data. Recent end-to-end learning methods go from raw sensor data to a trajectory output vi…
FinderNet: A Data Augmentation Free Canonicalization aided Loop Detection and Closure technique for Point clouds in 6-DOF separation
Sudarshan S Harithas, Gurkirat Singh, Aneesh Chavan +4
We focus on the problem of LiDAR point cloud based loop detection (or Finding) and closure (LDC) in a multi-agent setting. State-of-the-art (SOTA) techniques directly generate lear…
Bridging Sim2Real Gap Using Image Gradients for the Task of End-to-End Autonomous Driving
Unnikrishnan R Nair, Sarthak Sharma, Udit Singh Parihar +2
We present the first prize solution to NeurIPS 2021 - AWS Deepracer Challenge. In this competition, the task was to train a reinforcement learning agent (i.e. an autonomous car), t…
The Earth ain't Flat: Monocular Reconstruction of Vehicles on Steep and Graded Roads from a Moving Camera
Junaid Ahmed Ansari, Sarthak Sharma, Anshuman Majumdar +2
Accurate localization of other traffic participants is a vital task in autonomous driving systems. State-of-the-art systems employ a combination of sensing modalities such as RGB c…
Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking
Sarthak Sharma, Junaid Ahmed Ansari, J. Krishna Murthy +1
This paper introduces geometry and object shape and pose costs for multi-object tracking in urban driving scenarios. Using images from a monocular camera alone, we devise pairwise…