Zobrazeno 1 - 10
of 782
pro vyhledávání: '"A, Kusari"'
Autor:
Son, Hojun, Kusari, Arpan
Domain adaptation for object detection (DAOD) aims to transfer a trained model from a source to a target domain. Various DAOD methods exist, some of which minimize context bias between foreground-background associations in various domains. However, n
Externí odkaz:
http://arxiv.org/abs/2409.14679
While there has been extensive work on generating physics-based adversarial samples recently, an overlooked class of such samples come from physical failures in the camera. Camera failures can occur as a result of an external physical process, i.e. b
Externí odkaz:
http://arxiv.org/abs/2405.15033
With the advent of universal function approximators in the domain of reinforcement learning, the number of practical applications leveraging deep reinforcement learning (DRL) has exploded. Decision-making in autonomous vehicles (AVs) has emerged as a
Externí odkaz:
http://arxiv.org/abs/2403.11432
Publikováno v:
Journal of Ecological Engineering, Vol 25, Iss 10, Pp 101-110 (2024)
The scarcity of groundwater monitoring in Kosovo, particularly in Lipjan, underscores the urgency to assess and safeguard this vital resource amidst escalating water demands and mounting pollution. This study addresses the critical gap in groundwater
Externí odkaz:
https://doaj.org/article/6467bdd58b06495cbc970ec5474b7ab0
We examine the problem of estimating footprint uncertainty of objects imaged using the infrastructure based camera sensing. A closed form relationship is established between the ground coordinates and the sources of the camera errors. Using the error
Externí odkaz:
http://arxiv.org/abs/2308.12846
Autor:
Kusari, Arpan, Saha, Satabdi
Autonomous vehicles (AVs) need to determine their position and orientation accurately with respect to global coordinate system or local features under different scene geometries, traffic conditions and environmental conditions. \cite{reid2019localiza
Externí odkaz:
http://arxiv.org/abs/2308.12277
Autor:
Kusari, Arpan, Sun, Wenbo
Subgraph isomorphism or subgraph matching is generally considered as an NP-complete problem, made more complex in practical applications where the edge weights take real values and are subject to measurement noise and possible anomalies. To the best
Externí odkaz:
http://arxiv.org/abs/2209.09090
Pedestrian safety has become an important research topic among various studies due to the increased number of pedestrian-involved crashes. To evaluate pedestrian safety proactively, surrogate safety measures (SSMs) have been widely used in traffic co
Externí odkaz:
http://arxiv.org/abs/2207.14145
Autor:
Kusari, Arpan, Sun, Wenbo
Low dimensional primitive feature extraction from LiDAR point clouds (such as planes) forms the basis of majority of LiDAR data processing tasks. A major challenge in LiDAR data analysis arises from the irregular nature of LiDAR data that forces prac
Externí odkaz:
http://arxiv.org/abs/2205.11460
Traffic simulation is an efficient and cost-effective way to test Autonomous Vehicles (AVs) in a complex and dynamic environment. Numerous studies have been conducted for AV evaluation using traffic simulation over the past decades. However, the curr
Externí odkaz:
http://arxiv.org/abs/2110.07111