Pedestrian Recognition and Obstacle Avoidance for Autonomous Vehicles using Raspberry Pi

Charlie Day; Liam McEachen; Asiya Khan; Sanjay Sharma; Giovanni Masala

doi:10.1007/978-3-030-29513-4_5

Pedestrian Recognition and Obstacle Avoidance for Autonomous Vehicles using Raspberry Pi

Charlie Day
, Liam McEachen
, Asiya Khan^*
, Sanjay Sharma
, Giovanni Masala

^*Corresponding author for this work

School of Engineering, Computing and Mathematics

Research output: Contribution to journal › Conference proceedings published in a journal › peer-review

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Original language	English
Number of pages	0
Journal	Springer series "Advances in Intelligent Systems and Computing"
Volume	0
Issue number	0
Early online date	24 Aug 2019
DOIs	https://doi.org/10.1007/978-3-030-29513-4_5
Publication status	Published - 24 Aug 2019
Event	IntelliSys 2019 - Duration: 24 Aug 2019 → …

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title = "Pedestrian Recognition and Obstacle Avoidance for Autonomous Vehicles using Raspberry Pi",

author = "Charlie Day and Liam McEachen and Asiya Khan and Sanjay Sharma and Giovanni Masala",

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T1 - Pedestrian Recognition and Obstacle Avoidance for Autonomous Vehicles using Raspberry Pi

AU - Day, Charlie

AU - McEachen, Liam

AU - Khan, Asiya

AU - Sharma, Sanjay

AU - Masala, Giovanni

PY - 2019/8/24

Y1 - 2019/8/24

UR - https://pearl.plymouth.ac.uk/secam-research/210/

U2 - 10.1007/978-3-030-29513-4_5

DO - 10.1007/978-3-030-29513-4_5

M3 - Conference proceedings published in a journal

SN - 2194-5357

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JO - Springer series "Advances in Intelligent Systems and Computing"

JF - Springer series "Advances in Intelligent Systems and Computing"

IS - 0

T2 - IntelliSys 2019

Y2 - 24 August 2019

ER -

Pedestrian Recognition and Obstacle Avoidance for Autonomous Vehicles using Raspberry Pi

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