Risto Ojala
Doctoral Researcher
Doctoral Researcher
T212 Mechanical Engineering
Full researcher profile
https://research.aalto.fi/...
Contact information
Email
[email protected]
Research groups
- Mechatronics, Doctoral Researcher
Publications
Architecture for determining the cleanliness in shared vehicles using an integrated machine vision and indoor air quality-monitoring system
Nilusha Jayawickrama, Enric Perarnau Ollé, Jesse Pirhonen, Risto Ojala, Klaus Kivekäs, Jari Vepsäläinen, Kari Tammi
2023
Journal of Big Data
Infrastructure camera calibration with GNSS for vehicle localisation
Risto Ojala, Jari Vepsalainen, Jesse Pirhonen, Kari Tammi
2023
IET INTELLIGENT TRANSPORT SYSTEMS
4DenoiseNet: Adverse Weather Denoising From Adjacent Point Clouds
Alvari Seppanen, Risto Ojala, Kari Tammi
2023
IEEE Robotics and Automation Letters
Classification of Trash and Valuables with Machine Vision in Shared Cars
Nilusha Jayawickrama, Risto Ojala, Jesse Pirhonen, Klaus Kivekas, Kari Tammi
2022
APPLIED SCIENCES
Motion detection and classification : ultra-fast road user detection
Risto Ojala, Jari Vepsäläinen, Kari Tammi
2022
Journal of Big Data
Brake Light Detection Algorithm for Predictive Braking
Jesse Pirhonen, Risto Ojala, Klaus Kivekäs, Jari Vepsäläinen, Kari Tammi
2022
Applied Sciences (Switzerland)
Predictive Braking With Brake Light Detection-Field Test
Jesse Pirhonen, Risto Ojala, Klaus Kivekas, Kari Tammi
2022
IEEE Access
Comparison of Semi-autonomous Mobile Robot Control Strategies in Presence of Large Delay Fluctuation
Alvari Seppanen, Jari Vepsalainen, Risto Ojala, Kari Tammi
2022
Journal of intelligent & robotic systems
Monitoring Cleanliness of Public Transportation with Computer Vision
Risto Ojala, Tuomas Kinnunen, Mikael Aakko, Joel Mattila, Panu Kiviluoma, Petri Kuosmanen
2020
Proceedings of the 5th Baltic Mechatronics Symposium
Novel Convolutional Neural Network-Based Roadside Unit for Accurate Pedestrian Localisation
Risto Ojala, Jari Vepsäläinen, Jussi Hanhirova, Vesa Hirvisalo, Kari Tammi
2020
IEEE Transactions on Intelligent Transportation Systems