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20132026
most citedUncertainty estimation of pedestrian future trajectory using Bayesian approximation

30 citations · 127 across the 33 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Real-World Perception for Autonomous Driving in Adverse Weather: Enhancing Standard Detectors via Foundation-Guided Auto-Annotation

Sepideh Gohari, Goodarz Mehr, Azim Eskandarian

Standard deployment-ready object detectors for autonomous vehicles degrade in adverse weather and lighting conditions without being trained on extensive domain-specific data. While…

cs.CV2026

SimBEV2X: A Large-Scale Dataset and Data Generation Tool for Multi-Task Vehicle-to-Everything Cooperative Perception

Goodarz Mehr, Sepideh Gohari, Montasir Abbas +1

Cooperative perception through vehicle-to-everything (V2X) communication can overcome the inherent physical limitations of individual autonomous vehicles, such as occlusions and li…

cs.CV2025★ 2 cited

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset

Goodarz Mehr, Azim Eskandarian

Bird's-eye view (BEV) perception has garnered significant attention in autonomous driving in recent years, in part because BEV representation facilitates multi-modal sensor fusion.…

cs.CV2024

Image-Guided Outdoor LiDAR Perception Quality Assessment for Autonomous Driving

Ce Zhang, Azim Eskandarian

LiDAR is one of the most crucial sensors for autonomous vehicle perception. However, current LiDAR-based point cloud perception algorithms lack comprehensive and rigorous LiDAR qua…

cs.CV2023★ 1 cited

The Impact of Different Backbone Architecture on Autonomous Vehicle Dataset

Ning Ding, Azim Eskandarian

Object detection is a crucial component of autonomous driving, and many detection applications have been developed to address this task. These applications often rely on backbone a…

cs.CV2023

SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving

Ning Ding, Ce Zhang, Azim Eskandarian

Object detection (OD) is crucial to autonomous driving. On the other hand, unknown objects, which have not been seen in training sample set, are one of the reasons that hinder auto…

cs.CV2022★ 1 cited

A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception

Ce Zhang, Azim Eskandarian

Reliable object detection using cameras plays a crucial role in enabling autonomous vehicles to perceive their surroundings. However, existing camera-based object detection approac…