Sriram Sivaram

dblp:260/7356 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2026
0000-0002-9010-1096ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
YearPublicationVenuePosition
2026 Data-driven fault detection framework for wheel speed sensor in Heavy Road Vehicles
Rajesh Ramakrishnan, Pavel Vijay Gaurkar, Gunasekaran Vivekanandan, Sriram Sivaram, Shankar C. Subramanian
Signal Process.4
2023 A Computationally and Data-Efficient Reference Slip Estimation Algorithm for Antilock Brake System
abstract
An Antilock Brake System (ABS) operating on the principle of wheel slip regulation requires real-time values of reference slip during emergency braking. This reference slip should be obtained while ensuring the computational efficiency and performance of ABS on an Electronic Control Unit (ECU). This study proposes an algorithm for reference slip estimation that is inherently adapted to work with a current automotive-grade ECU. The proposed algorithm utilized linear interpolation, recursion, and function approximation to improve the design of an existing optimal reference slip algorithm. The improved ABS was found to perform equally or better in terms of braking distance when compared to its computationally heavier version across various vehicle operating conditions. Moreover, it was able to run on an automotive-grade ECU in less than 5 ms, which illustrates its deployment readiness.
Shravan S. Devadiga, Pavel Vijay Gaurkar, Gunasekaran Vivekanandan, Sriram Sivaram, Shankar C. Subramanian
CoDIT4
2023 An Algorithm to Ascertain Driver Braking Intent and Fault with an Electronic Brake Pedal
abstract
Electronic braking system can improve the response time during braking and improve safety. However, brake-by-wire implementation poses a higher susceptibility to faults when compared to its mechanical counterpart. This study presents a mathematical model for a dual-sensor electronic brake pedal that relates the sensor output to the brake pedal displacement considering the noise in power source. Based on this model, an algorithm that ascertains the driver's intent and identifies any faults during real-time operation is developed. The algorithm was experimentally evaluated in a hardware setup with and without emulation of fault conditions. The algorithm was found to respond accurately to the input in normal and faulty conditions with the corresponding fault flag.
Jakka Mahesh, Chitrartha Dixit, Pavel Vijay Gaurkar, Gunasekaran Vivekanandan, Sriram Sivaram, Shankar C. Subramanian
CoDIT5