An End to End Learning based Ego Vehicle Speed Estimation System
Estimating speed of a vehicle from only the video captured from within the vehicle without relying on any other supplementary information such as GPS coordinates or LIDAR data, is a challenging task. A deep neural network-based technique is proposed in this work that uses only the recordings from on...
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Published in | 2021 IEEE International Power and Renewable Energy Conference (IPRECON) pp. 1 - 8 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
24.09.2021
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Abstract | Estimating speed of a vehicle from only the video captured from within the vehicle without relying on any other supplementary information such as GPS coordinates or LIDAR data, is a challenging task. A deep neural network-based technique is proposed in this work that uses only the recordings from onboard dash camera, to estimate speed of the ego car. Three models are designed using various combinations of LSTM and CNN and evaluated on two benchmark datasets. From the results, it is observed that the proposed systems are well capable of generating estimates of the ego vehicle speeds with good accuracy |
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AbstractList | Estimating speed of a vehicle from only the video captured from within the vehicle without relying on any other supplementary information such as GPS coordinates or LIDAR data, is a challenging task. A deep neural network-based technique is proposed in this work that uses only the recordings from onboard dash camera, to estimate speed of the ego car. Three models are designed using various combinations of LSTM and CNN and evaluated on two benchmark datasets. From the results, it is observed that the proposed systems are well capable of generating estimates of the ego vehicle speeds with good accuracy |
Author | Bandari, Hitesh Linganna Nair, Binoy B |
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Snippet | Estimating speed of a vehicle from only the video captured from within the vehicle without relying on any other supplementary information such as GPS... |
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SubjectTerms | Benchmark testing Cameras CNN-LSTM Conferences Data models Ego vehicle speed End-to-End Learning Estimation Laser radar Renewable energy sources Sequence-to-Sequence Regression Speed Estimation |
Title | An End to End Learning based Ego Vehicle Speed Estimation System |
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