Ola Benderius
Ola Benderius is developing models of driver steering behaviour, both on an angular and neuromuscular level. For example, he found a solution to a problem first discovered in the 40s, namely that the driver steering should be treated as intermittent steering corrections according to reaching theory, rather than continuous error minimising tracking. Ola also works on how to apply driver models within the area of self driving cars.
Showing 25 publications
Sim-to-real transfer and reality gap modeling in model predictive control for autonomous driving
Application and evaluation of direct sparse visual odometry in marine vessels
A lidar-only SLAM algorithm for marine vessels and autonomous surface vehicles
Over 60,000 km in a year: remotely collecting large-volume high-quality data from a logistics truck
Formally Robust and Safe Trajectory Planning and Tracking for Autonomous Vehicles
Sleepy drivers on a slippery road: A pilot study using a driving simulator
Are we ready for beyond-application high-volume data? The Reeds robot perception benchmark dataset
HPM-Frame: A Decision Framework for Executing Software on Heterogeneous Platforms
Microservice Architectures for Advanced Driver Assistance Systems: A Case-Study
Containerized development and microservices for self-driving vehicles: Experiences & best practices
A realistic simulation model of the interacting rider and horse behaviour
Driving while fatigued in slippery road conditions - a neglected issue
Evidence for a fundamental property of steering
Driver behaviour in unexpected critical events and in repeated exposures – a comparison
Scaled test track: A novel approach for active safety system development, testing, and validation
A Review of Near-Collision Driver Behavior Models
Driver modeling: Data collection, model analysis, and optimization
A simulation environment for analysis and optimization of driver models
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Showing 10 research projects
Enhanced Perception Ashore (EPA)
AI-based control system for foiling craft
Mistra Co-Creation Better Blue (C2B2)
AUTOFREIGHT 2 - Efficient Transport Systems for Regional Container Transports
AutonomouS and Connected vehiclE Testing using Infrastructure Sensor Measurements (ASCETISM)
Seacat - risk minimization during inspection from the sea surface
Referensdata och algoritmer till stöd för forskning och utveckling av smarta fartyg
Development of fully autonomous marine vessels – a step towards an autonomous Marine ElectriCity
Marina droners with extreme persistence for more powerful monitoring of the marine environment
Förstudie rörande samverkansplattform för autonom sjöfart