Risto Ojala

According to our database, Risto Ojala authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Automatic Labelling for Low-Light Pedestrian Detection.

Dimitrios Bouzoulas, Eerik Alamikkotervo, Risto Ojala

CoRR, July, 2025

Label Correction for Road Segmentation Using Road-side Cameras.

Henrik Toikka, Eerik Alamikkotervo, Risto Ojala

CoRR, February, 2025

Trajectory-Based Road Autolabeling With Lidar-Camera Fusion in Winter Conditions.

Eerik Alamikkotervo, Henrik Toikka, Kari Tammi, Risto Ojala

IEEE Access, 2025

2024

DynaHull: Density-centric Dynamic Point Filtering in Point Clouds.

Pejman Habibiroudkenar, Risto Ojala, Kari Tammi

J. Intell. Robotic Syst., December, 2024

Out-of-distribution- and location-aware PointNets for real-time 3D road user detection without a GPU.

Alvari Seppänen, Eerik Alamikkotervo, Risto Ojala, Giacomo Dario, Kari Tammi

J. Big Data, December, 2024

Self-supervised multi-echo point cloud denoising in snowfall.

Alvari Seppänen, Risto Ojala, Kari Tammi

Pattern Recognit. Lett., 2024

Road Surface Friction Estimation for Winter Conditions Utilising General Visual Features.

Risto Ojala, Eerik Alamikkotervo

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

2023

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 Kivekas, Jari Vepsäläinen, Kari Tammi

J. Big Data, December, 2023

4DenoiseNet: Adverse Weather Denoising From Adjacent Point Clouds.

Alvari Seppänen, Risto Ojala, Kari Tammi

IEEE Robotics Autom. Lett., 2023

TADAP: Trajectory-Aided Drivable area Auto-labeling with Pre-trained self-supervised features in winter driving conditions.

Eerik Alamikkotervo, Risto Ojala, Alvari Seppänen, Kari Tammi

CoRR, 2023

Enhanced Winter Road Surface Condition Monitoring with Computer Vision.

Risto Ojala, Alvari Seppänen

CoRR, 2023

Multi-Echo Denoising in Adverse Weather.

Alvari Seppänen, Risto Ojala, Kari Tammi

CoRR, 2023

2022

Comparison of Semi-autonomous Mobile Robot Control Strategies in Presence of Large Delay Fluctuation.

Alvari Seppänen, Jari Vepsäläinen, Risto Ojala, Kari Tammi

J. Intell. Robotic Syst., 2022

Motion detection and classification: ultra-fast road user detection.

Risto Ojala, Jari Vepsäläinen, Kari Tammi

J. Big Data, 2022

No GPU? No problem: an ultra fast 3D detection of road users with a simple proposal generator and energy-based out-of-distribution PointNets.

Alvari Seppänen, Eerik Alamikkotervo, Risto Ojala, Giacomo Dario, Kari Tammi

CoRR, 2022

Predictive Braking With Brake Light Detection - Field Test.

Jesse Pirhonen, Risto Ojala, Klaus Kivekas, Kari Tammi

IEEE Access, 2022

2020

Novel Convolutional Neural Network-Based Roadside Unit for Accurate Pedestrian Localisation.

Risto Ojala, Jari Vepsäläinen, Jussi Hanhirova, Vesa Hirvisalo, Kari Tammi

IEEE Trans. Intell. Transp. Syst., 2020

2019

Q-Learning Based Autonomous Control of the Auxiliary Power Network of a Ship.

Janne Huotari, Antti Ritari, Risto Ojala, Jari Vepsäläinen, Kari Tammi

IEEE Access, 2019