Raja Manish
Environmental Science · Purdue University West Lafayette
Publications
39
Citations
322
Est. group size
~10
Recurring co-author estimate
Active years
13
Publishing since 2014
Raja Manish's work focuses on combining LiDAR (laser-based 3D scanning), imaging, and GPS/GNSS technologies to build mapping and monitoring systems for roads, farm fields, forests, and infrastructure. Applications include tracking road surface conditions, measuring salt stockpiles for winter road maintenance, mapping agricultural fields with drones and ground robots, and testing autonomous vehicle sensor systems. This research supports transportation agencies, agriculture, and robotics by improving how 3D spatial data is collected and processed in challenging outdoor conditions.
Publication output has grown notably over the last decade, rising from about 1 paper per year in 2017-2019 to a steady 5-7 papers per year since 2022.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Development of Multi-modal Mapping Systems and Data Enhancement Strategies for GNSS-challenging Environments
Open MIND · 2026
- Development of Multi-modal Mapping Systems and Data Enhancement Strategies for GNSS-challenging Environments
Purdue · 2026
- Road Surface Condition Evaluation Using Imaging, LiDAR, and Multi-grade Navigation Systems
SSRN Electronic Journal · 2026
- Road Surface Condition Evaluation Using Imaging, LiDAR, and Multi-grade Navigation Systems
SSRN Electronic Journal · 2026
- Backpack System Development and Image-LiDAR Integration for Improved Geospatial Data Alignment in Forest Mapping
Remote Sensing · 2026
- A Web Portal for the Management, Visualization, and Quality Control of Mobile LiDAR/Image Data along Transportation Corridors
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2025
- Uncrewed Ground Vehicle (UGV) LiDAR Data Enhancement for High-Precision and High-Throughput Phenotyping in Mechanized Fields
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2025
- Optimizing Humanoid Robot Performance with Field-Oriented Harmonic Actuator Control
2025
- In-Situ Calibration and Trajectory Enhancement of UAV LiDAR Systems for Mapping Mechanized Agricultural Fields
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2024
- Statewide Implementation of Salt Stockpile Inventory Using LiDAR Measurements: Case Study
Remote Sensing · 2024
- Framework for the Verification & Validation (V&V) of Advanced Driver Assistance Systems
SAE technical papers on CD-ROM/SAE technical paper series · 2024
- Synthetic Scenario Generation from Real Road Data for Indian Specific ADAS Function Verification and Validation
SAE technical papers on CD-ROM/SAE technical paper series · 2024
- Aircraft Conflict Detection and Avoidance through Interacting Multiple Model (IMM) Estimation
arXiv (Cornell University) · 2024
- ALTERNATIVE LIDAR TECHNOLOGIES FOR STOCKPILE MONITORING AND REPORTING
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2023
- Field Test Bed for Evaluating Embedded Vehicle Sensors with Indiana Companies
2023
- Remote Sensing×11
- The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences×3
- SSRN Electronic Journal×3
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing×2
- SAE technical papers on CD-ROM/SAE technical paper series×2
- Tamer Shamseldin
Environmental Science · Purdue University West Lafayette
- Tian Zhou
Environmental Science · Purdue University West Lafayette
- Yi-Chun Lin
Environmental Science · Purdue University West Lafayette
- Ayman Habib
Environmental Science · Purdue University West Lafayette
- Zhixin Li
Environmental Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile