Seshan Srirangarajan — accepted AI-conference papers

2025

MMA-Net: Multi-Modal Attention Network for 2-D Object Detection in Autonomous Driving

Abhilash Gaur, Shubh Goel, Kanishk Goel, Seshan Srirangarajan, Po-Hsuan Tseng, Kai-Ten Feng

ICASSP 2025accepted

Autonomous driving technology relies heavily on sensor data for environment perception. Heterogeneous sensors such as lidar, radar, and camera have their own strengths and limitations. Therefore, relying on any single sensor would restrict the effectiveness of autonomous driving technology. However,…

Cited by 0 Source ↗Scholar ↗

2024

Node Placement and Path Planning for Improved Area Coverage in Mixed Wireless Sensor Networks

Survi Kumari, Seshan Srirangarajan

RA-L 2024

For the large-scale monitoring of a physical phenomena using a wireless sensor network (WSN), a large number of static and/or mobile sensor nodes are required, resulting in higher deployment cost. In this work, we develop an efficient algorithm that can employ a small number of static nodes together

Cited by 13 Source ↗Scholar ↗