activity
20192026
most citedControl Strategies for Autonomous Vehicles

40 citations · 121 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Radar Guided Camera Verification for Automatic Emergency Braking Rethinking Object Detection in Radar Camera Fusion

Ram Charan Akula, Sivanathan Kandhasamy, Manikandan Ganesan

Radar camera fusion is widely used in Automatic Emergency Braking AEB systems because radar provides reliable range and velocity measurements while cameras provide a proper visual…

cs.RO2022★ 37 cited

AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Enhancing Autonomous Driving Research and Education

Tanmay Vilas Samak, Chinmay Vilas Samak, Sivanathan Kandhasamy +2

Prototyping and validating hardware-software components, sub-systems and systems within the intelligent transportation system-of-systems framework requires a modular yet flexible a…

cs.RO2021

Autonomous Racing using a Hybrid Imitation-Reinforcement Learning Architecture

Chinmay Vilas Samak, Tanmay Vilas Samak, Sivanathan Kandhasamy

In this work, we present a rigorous end-to-end control strategy for autonomous vehicles aimed at minimizing lap times in a time attack racing event. We also introduce AutoRACE Simu…

cs.RO2021★ 8 cited

Proximally Optimal Predictive Control Algorithm for Path Tracking of Self-Driving Cars

Chinmay Vilas Samak, Tanmay Vilas Samak, Sivanathan Kandhasamy

This work presents proximally optimal predictive control algorithm, which is essentially a model-based lateral controller for steered autonomous vehicles that selects an optimal st…

cs.RO2020★ 15 cited

Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement Learning

Sivanathan Kandhasamy, Vinayagam Babu Kuppusamy, Tanmay Vilas Samak +1

This work presents a decentralized motion planning framework for addressing the task of multi-robot navigation using deep reinforcement learning. A custom simulator was developed i…

cs.RO2020★ 40 cited

Control Strategies for Autonomous Vehicles

Chinmay Vilas Samak, Tanmay Vilas Samak, Sivanathan Kandhasamy

This chapter focuses on the self-driving technology from a control perspective and investigates the control strategies used in autonomous vehicles and advanced driver-assistance sy…

cs.RO2020★ 20 cited

Robust Behavioral Cloning for Autonomous Vehicles using End-to-End Imitation Learning

Tanmay Vilas Samak, Chinmay Vilas Samak, Sivanathan Kandhasamy

In this work, we present a lightweight pipeline for robust behavioral cloning of a human driver using end-to-end imitation learning. The proposed pipeline was employed to train and…

cs.RO2019★ 1 cited

Towards Scalable Continuous-Time Trajectory Optimization for Multi-Robot Navigation

Shravan Krishnan, Govind Aadithya Rajagopalan, Sivanathan Kandhasamy +1

Scalable multi-robot transition is essential for ubiquitous adoption of robots. As a step towards it, a computationally efficient decentralized algorithm for continuous-time trajec…

cs.RO2019

Continuous-Time Trajectory Optimization for Decentralized Multi-Robot Navigation

Shravan Krishnan, Govind Aadithya Rajagopalan, Sivanathan Kandhasamy +1

Multi-robot systems have begun to permeate into a variety of different fields, but collision-free navigation in a decentralized manner is still an arduous task. Typically, the navi…