Multi-Target Classification Using Deep Learning Models for Automotive Applications. - Soumya Abbu; Linga Reddy Cenkeramaddi; Chalavadi Vishnu; Yash Vinod Lanjewar; Krishna Mohan C (ICCMA, 2023)

Multi-class object classification using deep learning models in automotive object detection scenarios. - Soumya Abbu; Linga Reddy Cenkeramaddi; Vishnu Chalavadi; C. Krishna Mohan (ICMV, 2023)

Recent Advances in mmWave-Radar-Based Sensing, Its Applications, and Machine Learning Techniques: A Review. - Soumya Abbu; C. Krishna Mohan; Linga Reddy Cenkeramaddi (Sensors, 2023)

PointBi-FPN: An Extention to Pointpillars for LiDAR 3D Object Detection in Autonomous Vehicles Using Bi-Directional Feature Pyramid Network. - Soumya Abbu; Krishna Mohan C; Linga Reddy Cenkeramaddi; Sobhan Babu (TENCON, 2024)

High Precision Single Shot Object Detection in Automotive Scenarios. - Soumya Abbu; C. Krishna Mohan; Linga Reddy Cenkeramaddi (VISIGRAPP (2): VISAPP, 2024)

Ego-centric congestion understanding from multi-camera traffic scenes: A benchmark dataset and graph reasoning approach for autonomous vehicles. - Soumya Abbu; Kummari Naveen Kumar; Ch. Sobhan Babu; Linga Reddy Cenkeramaddi; Krishna Mohan Chalavadi (Appl. Soft Comput., 2026)

Point cloud-based multi-target 3D object detection using LiDAR sensor and deep learning. - Soumya Abbu; Abhishek Kumar Dubey; C. Krishna Mohan; Linga Reddy Cenkeramaddi (J. Ambient Intell. Humaniz. Comput., 2026)

3DA-net: a dual-attention-based network integrating global and local context for enhanced 3D object detection. - Soumya Abbu; Linga Reddy Cenkeramaddi; Krishna Mohan C (Appl. Intell., 2026)