Developing an Object and Event Detection and Recognition Module for Autonomous Vehicles Using Simulators

Souvik Mandal; Venkat Nikhil Tatavarthy; Gourinath Banda

doi:10.1007/978-981-33-6912-2_48

Developing an Object and Event Detection and Recognition Module for Autonomous Vehicles Using Simulators

Souvik Mandal^*, Venkat Nikhil Tatavarthy, Gourinath Banda

^*Corresponding author for this work

IIT Indore

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

An autonomous vehicle is capable of operating safely by sensing its environment with little or no human involvement. In this paper, we develop an Object and Event Detection and Recognition (OEDR) system, using supervised machine learning and computer vision techniques, which is an important environment perceiving unit for the autonomous vehicle. To achieve this, we have used the IPG-CarMaker simulator to exploit the advantages of a simulator. In the due course of developing our system, we have encountered a few potential limitations a simulation may raise such as training dataset diversity and camera noise, and found their possible solutions.

Original language	English
Title of host publication	Soft Computing and Signal Processing
Publisher	Springer
Publication date	2021
Pages	537–548
ISBN (Print)	978-981-33-6911-5
ISBN (Electronic)	978-981-33-6912-2
DOIs	https://doi.org/10.1007/978-981-33-6912-2_48
Publication status	Published - 2021
Externally published	Yes
Event	ICSCSP 2020 : 3rd International Conference on Soft Computing and Signal Processing - Hyderabad, India Duration: 19. Jun 2020 → 20. Jun 2020

Conference

Conference	ICSCSP 2020 : 3rd International Conference on Soft Computing and Signal Processing
Country/Territory	India
City	Hyderabad
Period	19/06/2020 → 20/06/2020

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10.1007/978-981-33-6912-2_48

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@inproceedings{06b64782830449c08746ed2fa19a5290,

title = "Developing an Object and Event Detection and Recognition Module for Autonomous Vehicles Using Simulators",

abstract = "An autonomous vehicle is capable of operating safely by sensing its environment with little or no human involvement. In this paper, we develop an Object and Event Detection and Recognition (OEDR) system, using supervised machine learning and computer vision techniques, which is an important environment perceiving unit for the autonomous vehicle. To achieve this, we have used the IPG-CarMaker simulator to exploit the advantages of a simulator. In the due course of developing our system, we have encountered a few potential limitations a simulation may raise such as training dataset diversity and camera noise, and found their possible solutions.",

author = "Souvik Mandal and Tatavarthy, {Venkat Nikhil} and Gourinath Banda",

year = "2021",

doi = "10.1007/978-981-33-6912-2_48",

language = "English",

isbn = "978-981-33-6911-5",

pages = "537–548",

booktitle = "Soft Computing and Signal Processing",

publisher = "Springer",

address = "Germany",

note = "ICSCSP 2020 : 3rd International Conference on Soft Computing and Signal Processing ; Conference date: 19-06-2020 Through 20-06-2020",

}

Mandal, S, Tatavarthy, VN & Banda, G 2021, Developing an Object and Event Detection and Recognition Module for Autonomous Vehicles Using Simulators. in Soft Computing and Signal Processing. Springer, pp. 537–548, ICSCSP 2020 : 3rd International Conference on Soft Computing and Signal Processing, Hyderabad, India, 19/06/2020. https://doi.org/10.1007/978-981-33-6912-2_48

TY - GEN

T1 - Developing an Object and Event Detection and Recognition Module for Autonomous Vehicles Using Simulators

AU - Mandal, Souvik

AU - Tatavarthy, Venkat Nikhil

AU - Banda, Gourinath

PY - 2021

Y1 - 2021

N2 - An autonomous vehicle is capable of operating safely by sensing its environment with little or no human involvement. In this paper, we develop an Object and Event Detection and Recognition (OEDR) system, using supervised machine learning and computer vision techniques, which is an important environment perceiving unit for the autonomous vehicle. To achieve this, we have used the IPG-CarMaker simulator to exploit the advantages of a simulator. In the due course of developing our system, we have encountered a few potential limitations a simulation may raise such as training dataset diversity and camera noise, and found their possible solutions.

AB - An autonomous vehicle is capable of operating safely by sensing its environment with little or no human involvement. In this paper, we develop an Object and Event Detection and Recognition (OEDR) system, using supervised machine learning and computer vision techniques, which is an important environment perceiving unit for the autonomous vehicle. To achieve this, we have used the IPG-CarMaker simulator to exploit the advantages of a simulator. In the due course of developing our system, we have encountered a few potential limitations a simulation may raise such as training dataset diversity and camera noise, and found their possible solutions.

U2 - 10.1007/978-981-33-6912-2_48

DO - 10.1007/978-981-33-6912-2_48

M3 - Article in proceedings

SN - 978-981-33-6911-5

SP - 537

EP - 548

BT - Soft Computing and Signal Processing

PB - Springer

T2 - ICSCSP 2020 : 3rd International Conference on Soft Computing and Signal Processing

Y2 - 19 June 2020 through 20 June 2020

ER -

Developing an Object and Event Detection and Recognition Module for Autonomous Vehicles Using Simulators

Abstract

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