P. Rajalakshmi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Obstacle Detection

Autonomous Vehicles

Top Venues

Publications

Samuktha V., Hershita Shukla, Nitish Kumar, Tejasri Nampally, D. Santhosh Reddy, P. Rajalakshmi
Improving Radar-Camera Fusion Network for Distance Estimation. ICCAE (2024)
D. Santhosh Reddy, Kaipa Sri Charan, Sai Kumar Kayam, P. Rajalakshmi
Robust Obstacle Detection and Collision Warning for Autonomous Vehicles Using Autoware Universe. ICCAE (2024)
Annu, P. Rajalakshmi
Enhancing Sidelink V2X Communication in 6G Networks: Power-Domain NOMA-Based Priority Message Transmission Approach. VNC (2024)
H. N. Srikanth, D. Santhosh Reddy, Dinesh Kumar Sonkar, Ronit Kumar, P. Rajalakshmi
Pothole Detection for Autonomous Vehicles in Indian Scenarios using Deep Learning. ISORC (2023)
Priyanka Gattu, S. Shreeshan, Subhra Sankha Bhatterjee, P. Rajalakshmi, Jana Kholová
Vision-Based Point Cloud Processing Framework for High Throughput Phenotyping. IGARSS (2023)
Palli Venkata Aishwarya, D. Santhosh Reddy, Dinesh Kumar Sonkar, Poluri Nikhil Koundinya, P. Rajalakshmi
Robust Deep Learning based Speed Bump Detection for Autonomous Vehicles in Indian Scenarios. ISORC (2023)
Annu, P. Rajalakshmi
Joint Scheduling of Communication and Computation Resources for Efficient Computation Offloading in MEC-based V2X Systems. WF-IoT (2023)
Priyanka Gattu, P. Rajalakshmi, Jana Kholová
Two Dimensional Histogram based on Relative Entropy Thresholding for Crop Segmentation Using UAV Images. IGARSS (2023)
Gurpreet Singh, P. Rajalakshmi, Yong Xiang
Personalized Federated Learning based Intrusion Detection Approach for Metaverse. ANTS (2023)
Adduru U. G. Sankararao, P. Rajalakshmi, Sivasakthi Kaliamoorthy, Sunitha Choudhary
Water Stress Detection in Pearl Millet Canopy with Selected Wavebands using UAV Based Hyperspectral Imaging and Machine Learning. SAS (2022)
Adduru U. G. Sankararao, P. Rajalakshmi
UAV Based Hyperspectral Remote Sensing and CNN for Vegetation Classification. IGARSS (2022)
G. Ujwal Sai, N. Tejasri, Ajay Kumar, P. Rajalakshmi
Deep Learning Based Overcomplete Representations for Paddy Rice Crop and Weed Segmentation. IGARSS (2022)
Akshay Ramesh Jadhav, P. Rajalakshmi
Enhanced LoRa Data Rate through PATCH. WF-IoT (2020)
Akshay Ramesh Jadhav, P. Rajalakshmi
A Novel PHY Layer Approach for Enhanced Data Rate in LoRa using Adaptive Symbol Periods. ANTS (2019)