From Smart Parking Towards Autonomous Valet Parking: A Survey, Challenges and Future Works

Muhammad Khalid, Kezhi Wang, Nauman Aslam, Yue Cao, Naveed Ahmed, Muhammad Khurram Khan

Research output: Contribution to journalReview articlepeer-review

75 Citations (Scopus)
518 Downloads (Pure)

Abstract

Recently, we see an increasing number of vehicles coming into our lives, which makes finding car parks a difficult task. To overcome this challenge, efficient and advanced parking techniques are required, such as finding the proper parking slot, increasing users’ experience, dynamic path planning and congestion avoidance. To this end, this survey provides a detailed overview starting from Smart Parking (SP) towards the emerging Autonomous Valet Parking (AVP) techniques. Specially, the SP includes digitally enhanced parking, smart routing, high density parking and vacant slot detection solutions. Moreover, the AVP involves Short-range Autonomous Valet Parking (SAVP) and Long-range Autonomous Valet Parking (LAVP). Finally, open issues and future work are provided.
Original languageEnglish
Article number102935
JournalJournal of Network and Computer Applications
Volume175
Early online date23 Nov 2020
DOIs
Publication statusPublished - 1 Feb 2021

Keywords

  • Autonomous parking
  • Long-range Autonomous Valet Parking (LAVP)
  • Short-range Autonomous Valet Parking (SAVP)
  • Smart parking

Fingerprint

Dive into the research topics of 'From Smart Parking Towards Autonomous Valet Parking: A Survey, Challenges and Future Works'. Together they form a unique fingerprint.

Cite this