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Rajib Sarkar

dblp:148/8525 · DBLP profile ↗
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3ranked-venue papers
2as first author
2since 2021 · last 2025
0000-0002-7498-1628ORCID · corroborated

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

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Smart cities and intelligent transportation · 100%
Computer networks
1 paper
Wireless sensing and localization · 100%
Artificial intelligence
1 paper
Autonomous driving · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Smart cities and intelligent transportation › traffic safety
driving safety
0.912025
CarVision: Vehicle Ranging and Tracking Using mmWave Radar for Enhanced Driver Safety · PerCom 2025
Wireless sensing and localization › radar sensing
mmwave radar sensing
0.912025
CarVision: Vehicle Ranging and Tracking Using mmWave Radar for Enhanced Driver Safety · PerCom 2025
Robotics › Autonomous driving
perception
0.312025
CarVision: Vehicle Ranging and Tracking Using mmWave Radar for Enhanced Driver Safety · PerCom 2025

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

range tracking · 2.6deep neural network detection · 2.6
YearPublicationVenuePosition
2025 CarVision: Vehicle Ranging and Tracking Using mmWave Radar for Enhanced Driver Safety
abstract
Maintaining a safe distance from the vehicle ahead is critical for safe driving. While LiDAR sensors can be used for distance measurement, their high cost and the large number of vehicles without such sensors—especially in developing regions—necessitate a low-cost yet effective alternative. To address this, we introduce CarVision, a system that utilizes a commercially available single-chip mmWave radar mounted on a car’s dashboard for vehicle ranging. CarVision detects vehicles within the radar’s field of view (FoV) and computes both the distance and relative speed of the vehicles in front. Our system employs a novel hybrid vehicle detection and tracking approach, combining deep neural network-based detection with range tracking in a streamlined pipeline to optimize accuracy and speed. Additionally, we’ve developed a smartphone-based alert system that warns drivers if a vehicle approaches within a critical distance (approximately 2 meters). CarVision demonstrates reliable ranging performance in daytime and nighttime conditions, with accurate measurements up to 50 meters.
Rajib Sarkar, Argha Sen, Sandip Chakraborty 0001
PerCom1
2021 Spoofed replay attack detection by Multidimensional Fourier transform on facial micro-expression regions
Dhiman Karmakar, Rajib Sarkar, Madhura Datta
Signal Process. Image Commun.2
2020 Recognition of emotion in music based on deep convolutional neural network
Rajib Sarkar, Sombuddha Choudhury, Saikat Dutta 0002, Aneek Roy, Sanjoy Kumar Saha 0001
Multim. Tools Appl.1