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Samer Rajab

dblp:192/4632 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2023
0000-0002-0698-3111ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Multi-agent systems · 25% Robot navigation and mapping · 25% Motion planning and robot control · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › multi-agent planning
collaborative planning
0.512021
Affordable Autonomy through Cooperative Sensing and Planning · ICRA 2021
Robotics › Robot navigation and mapping
cooperative sensing
0.512021
Affordable Autonomy through Cooperative Sensing and Planning · ICRA 2021
Robotics › Motion planning and robot control
motion planning
0.512021
Affordable Autonomy through Cooperative Sensing and Planning · ICRA 2021
Knowledge, reasoning and agents › Multi-agent systems
multi-robot systems
0.512021
Affordable Autonomy through Cooperative Sensing and Planning · ICRA 2021

Methods — techniques the papers use, named apart from their topics

cooperative sensing · 0.5cooperative planning · 0.5
YearPublicationVenuePosition
2023 DSRC Versus LTE-V2X: Empirical Performance Analysis of Direct Vehicular Communication Technologies
abstract
Vehicle-to-Vehicle (V2V) communication systems have an eminence potential to improve road safety and optimize traffic flow by broadcasting Basic Safety Messages (BSMs). Dedicated Short-Range Communication (DSRC) and LTE Vehicle-to-Everything (V2X) are two candidate technologies to enable V2V communication. DSRC relies on the IEEE 802.11p standard for its PHY and MAC layer while LTE-V2X is based on 3GPP’s Release 14 and operates in a distributed manner in the absence of cellular infrastructure. There has been considerable debate over the relative advantages and disadvantages of DSRC and LTE-V2X, aiming to answer the fundamental question of which technology is most effective in real-world scenarios for various road safety and traffic efficiency applications. In this paper, we present a comprehensive survey of these two technologies (i.e., DSRC and LTE-V2X) and related works. More specifically, we study the PHY and MAC layer of both technologies in the survey study and compare the PHY layer performance using a variety of field tests. First, we provide a summary of each technology and highlight the limitations of each in supporting V2X applications. Then, we examine their performance based on different metrics.
Ehsan Moradi-Pari, Danyang Tian, Mojtaba Bahramgiri, Samer Rajab, Sue Bai
IEEE Trans. Intell. Transp. Syst.4
2021 Affordable Autonomy through Cooperative Sensing and Planning
Paritosh Kelkar, Parth Chopra, Savio Pereira, Dan DeLano, Aaron Miller, Kyungzun Rim, Samer Rajab, Jonathan Butzke, Maxim Likhachev
ICRA7