Steering angle prediction using neural networks and look-up table for different drivers

Aušra Vidugirienė; Andriejus Demčenko; Minija Tamošiūnaitė

doi:10.1117/12.837461

5 August 2009 Steering angle prediction using neural networks and look-up table for different drivers

Aušra Vidugirienė, Andriejus Demčenko, Minija Tamošiūnaitė

Proceedings Volume 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009; 750206 (2009) https://doi.org/10.1117/12.837461
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 2009, Wilga, Poland

Abstract

Individualized driving assistance system approach is not explored extensively. We are developing an algorithm that could aid to driver's assistance on a curved country road. Steering angle predictions were made using neural network and look-up table approaches. The predictions were made using four parameters based on analysis of the image sequence obtained from the camera installed in a car. Two drivers' steering angle prediction results were compared and evaluated by calculating the mean squared error between the true and predicted signals.

Citation Download Citation

Aušra Vidugirienė, Andriejus Demčenko, and Minija Tamošiūnaitė "Steering angle prediction using neural networks and look-up table for different drivers", Proc. SPIE 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 750206 (5 August 2009); https://doi.org/10.1117/12.837461

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