11 citations · 12 across the 8 of their papers we have counts for
10 papers
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…
Estimation of Appearance and Occupancy Information in Birds Eye View from Surround Monocular Images
Sarthak Sharma, Unnikrishnan R. Nair, Udit Singh Parihar +2
Autonomous driving requires efficient reasoning about the location and appearance of the different agents in the scene, which aids in downstream tasks such as object detection, obj…
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…
NMR: Neural Manifold Representation for Autonomous Driving
Unnikrishnan R. Nair, Sarthak Sharma, Midhun S. Menon +1
Autonomous driving requires efficient reasoning about the Spatio-temporal nature of the semantics of the scene. Recent approaches have successfully amalgamated the traditional modu…
Deep Implicit Surface Point Prediction Networks
Rahul Venkatesh, Tejan Karmali, Sarthak Sharma +4
Deep neural representations of 3D shapes as implicit functions have been shown to produce high fidelity models surpassing the resolution-memory trade-off faced by the explicit repr…
DUDE: Deep Unsigned Distance Embeddings for Hi-Fidelity Representation of Complex 3D Surfaces
Rahul Venkatesh, Sarthak Sharma, Aurobrata Ghosh +2
High fidelity representation of shapes with arbitrary topology is an important problem for a variety of vision and graphics applications. Owing to their limited resolution, classic…
INFER: INtermediate representations for FuturE pRediction
Shashank Srikanth, Junaid Ahmed Ansari, Karnik Ram R +3
In urban driving scenarios, forecasting future trajectories of surrounding vehicles is of paramount importance. While several approaches for the problem have been proposed, the bes…
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…