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20192026
most citedTime-to-Collision-Aware Lane-Change Strategy Based on Potential Field and Cubic Polynomial for Autonomous Vehicles

2 citations · 5 across the 32 of their papers we have counts for

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Showing 2026 · cs.CVShow all

5 papers · 2 filters

cs.CV2026

CARE: Camera-Residual Reserves for First Sightings in Adaptive LiDAR Sensing

Jiachen Gong, Yun Li, Ehsan Javanmardi +2

Adaptive LiDAR scanning concentrates a limited sensing budget on regions of interest predicted from past object tracks, lowering data volume in autonomous driving while maintaining…

cs.CV2026

QueenVIS: Rethinking Image-Only Training for Video Instance Segmentation via Query Enrichment

Arian Kheirandish, Fardin Ayar, Ehsan Javanmardi +2

Video instance segmentation (VIS) requires models to detect, segment, and track object identities across frames, and most methods enforce temporal consistency through video-level s…

cs.CV2026

DispatchRAG: Grounding Emergency Dispatch Decisions in Real-World Protocols from Traffic Accident Video

Muhammad Sulthan Adhipradhana, Ehsan Javanmardi, Naren Bao +1

Assessing the severity of a traffic accident scenario is important to decide which emergency service to dispatch. Missing an ambulance dispatch on a pedestrian accident is a fatal…

cs.CV2026

How Do Diffusion Classifiers Decide? A Bias-Centric Evaluation

Saba Fathi, Fardin Ayar, Maryam Abdolali +3

Diffusion models have recently been repurposed for zero-shot classification, giving rise to diffusion classifiers that identify the best-matching text prompt by minimizing the nois…

cs.CV2026

SUG-Occ: Explicit Semantics and Uncertainty Guided Sparse Learning for Efficient 3D Occupancy Prediction

Hanlin Wu, Pengfei Lin, Ehsan Javanmardi +4

3D semantic occupancy prediction has emerged as a critical perception task for autonomous driving due to its ability to offer voxel-level semantic and geometric understanding of th…