TY - JOUR
T1 - Deep understanding of big geospatial data for self-driving cars
AU - Shang, Shuo
AU - Shen, Jianbing
AU - Wen, Ji Rong
AU - Kalnis, Panos
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2020/7/28
Y1 - 2020/7/28
N2 - Self-driving cars are capable of sensing environment and moving with little or no human input. Effective control of self-driving cars based on big geospatial data is one of the promising future directions of intelligent transportation. Specifically, big geospatial data understanding is helpful in acquiring travel behavior, vehicle mobility, traffic flow, nearby environment, and traffic-aware navigation. This special issue contains 10 research articles that present solid and novel research studies in the area of geospatial data analytics for self-driving applications, and 1survey article that investigates existing studies related to self-driving cars. All of the 11 papers went through at least two rounds of rigorous reviews by the guest editors and invited reviewers.
AB - Self-driving cars are capable of sensing environment and moving with little or no human input. Effective control of self-driving cars based on big geospatial data is one of the promising future directions of intelligent transportation. Specifically, big geospatial data understanding is helpful in acquiring travel behavior, vehicle mobility, traffic flow, nearby environment, and traffic-aware navigation. This special issue contains 10 research articles that present solid and novel research studies in the area of geospatial data analytics for self-driving applications, and 1survey article that investigates existing studies related to self-driving cars. All of the 11 papers went through at least two rounds of rigorous reviews by the guest editors and invited reviewers.
UR - http://hdl.handle.net/10754/664604
UR - https://linkinghub.elsevier.com/retrieve/pii/S0925231220311929
UR - http://www.scopus.com/inward/record.url?scp=85089152804&partnerID=8YFLogxK
U2 - 10.1016/j.neucom.2020.06.119
DO - 10.1016/j.neucom.2020.06.119
M3 - Article
SN - 1872-8286
JO - Neurocomputing
JF - Neurocomputing
ER -