most citedA Pedestrian Detection and Tracking Framework for Autonomous Cars: Efficient Fusion of Camera and LiDAR Data

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Localization in Spatiotemporal Fields via Environmental PDEs

Jose Fuentes, Abdullah Al Redwan Newaz, Ana Cavalcanti +1

This paper proposes a localization framework that uses spatiotemporal fields governed by partial differential equations (PDEs) as localization signatures. Two PDE classes are consi…

cs.RO2026

BOWConnect: Parallel Bayesian Optimization over Windows with Learned Local Cost Maps for Sample-Efficient Kinodynamic Motion Planning

Sourav Raxit, Abdullah Al Redwan Newaz, Jose Fuentes +1

This paper presents BOWConnect, a bidirectional parallel kinodynamic motion planner that addresses three fundamental limitations of existing sampling-based methods: sample ineffici…

cs.RO2026

Energy-Efficient Multi-Robot Coverage Path Planning of Non-Convex Regions of Interests

Sourav Raxit, Jose Fuentes, Paulo Padrao +4

This letter presents an energy-efficient multi-robot coverage path planning (MRCPP) framework for large, nonconvex Regions of Interest (ROI) containing obstacles and no-fly zones (…

cs.RO2026

Multi-Robot Trajectory Planning via Constrained Bayesian Optimization and Local Cost Map Learning with STL-Based Conflict Resolution

Sourav Raxit, Abdullah Al Redwan Newaz, Jose Fuentes +3

We address multi-robot motion planning under Signal Temporal Logic (STL) specifications with kinodynamic constraints. Exact approaches face scalability bottlenecks and limited adap…

cs.CV2021★ 1 cited

A Pedestrian Detection and Tracking Framework for Autonomous Cars: Efficient Fusion of Camera and LiDAR Data

Muhammad Mobaidul Islam, Abdullah Al Redwan Newaz, Ali Karimoddini

This paper presents a novel method for pedestrian detection and tracking by fusing camera and LiDAR sensor data. To deal with the challenges associated with the autonomous driving…