most citedLocal NMPC on Global Optimised Path for Autonomous Racing

6 citations · 6 across the 4 of their papers we have counts for

collaborators

6 papers

cs.RO2022

Multiple Waypoint Navigation in Unknown Indoor Environments

Shivam Sood, Jaskaran Singh Sodhi, Parv Maheshwari +2

Indoor motion planning focuses on solving the problem of navigating an agent through a cluttered environment. To date, quite a lot of work has been done in this field, but these me…

cs.RO2022

[Re] Differentiable Spatial Planning using Transformers

Rohit Ranjan, Himadri Bhakta, Animesh Jha +2

This report covers our reproduction effort of the paper 'Differentiable Spatial Planning using Transformers' by Chaplot et al. . In this paper, the problem of spatial path planning…

cs.CV2022

Reproducibility Report: Contrastive Learning of Socially-aware Motion Representations

Roopsa Sen, Sidharth Sinha, Parv Maheshwari +2

The following paper is a reproducibility report for "Social NCE: Contrastive Learning of Socially-aware Motion Representations" {\cite{liu2020snce}} published in ICCV 2021 as part…

cs.AI2022

[Reproducibility Report] Path Planning using Neural A* Search

Shreya Bhatt, Aayush Jain, Parv Maheshwari +2

The following paper is a reproducibility report for "Path Planning using Neural A* Search" published in ICML2 2021 as part of the ML Reproducibility Challenge 2021. The original pa…

cs.RO2021★ 6 cited

Local NMPC on Global Optimised Path for Autonomous Racing

Dvij Kalaria, Parv Maheshwari, Animesh Jha +4

The paper presents a strategy for the control of anautonomous racing car on a pre-mapped track. Using a dynamic model of the vehicle, the optimal racing line is computed, taking tr…

cs.CV2021

Reproducibility of "FDA: Fourier Domain Adaptation forSemantic Segmentation

Arnesh Kumar Issar, Kirtan Mali, Aryan Mehta +3

The following paper is a reproducibility report for "FDA: Fourier Domain Adaptation for Semantic Segmentation" published in the CVPR 2020 as part of the ML Reproducibility Challeng…