Demo Data from EDBT 2026 / reviewers in the wild / expert
Rajib Sarkar
dblp:148/8525
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Smart cities and intelligent transportation › traffic safety
driving safety |
0.9 | 1 | 2025 | CarVision: Vehicle Ranging and Tracking Using mmWave Radar for Enhanced Driver Safety · PerCom 2025 |
Wireless sensing and localization › radar sensing
mmwave radar sensing |
0.9 | 1 | 2025 | CarVision: Vehicle Ranging and Tracking Using mmWave Radar for Enhanced Driver Safety · PerCom 2025 |
Robotics › Autonomous driving
perception |
0.3 | 1 | 2025 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | CarVision: Vehicle Ranging and Tracking Using mmWave Radar for Enhanced Driver SafetyabstractMaintaining 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 |
PerCom | 1 |
| 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 |