About
I am a computer vision researcher and ADAS engineer working on safety-critical perception systems for autonomous driving. My research focuses on camera reliability monitoring, dataset-level generalization, degradation-aware perception, and efficient vision models for real-world driving systems.
News
- 2026: Paper accepted at IEEE IV Workshops.
- 2026: Paper accepted at CVPR DriveX Workshop.
- 2026: IEEE T-IV journal paper under review.
- 2026: DRIVE-C dataset descriptor under review.
Selected Publications
Online Camera Health Monitoring for ADAS via Uncertainty Pattern Analysis
IEEE Intelligent Vehicles Symposium Workshops, 2026.
Camera Health-Aware Cooperative Perception via Controlled Degradation and Uncertainty-Based Reliability
CVPR DriveX Workshop, 2026.
Understanding Cross-Dataset Generalization Through Semantic Dataset Complexity
Submitted to NeurIPS 2026.
Safety-Critical Camera Reliability Monitoring for ADAS via Degradation-Aware Uncertainty Pattern Analysis
IEEE Transactions on Intelligent Vehicles, under review.
Patents
- Lane Change — Filed
- Decomposed Entropy Profiles — In review
Projects
DRIVE-C
A controlled corruption dataset for autonomous driving, designed to evaluate perception robustness under weather, optical, sensor, and imaging-pipeline degradations.
Dataset Entropy Profiles
A dataset-level analysis framework for understanding cross-dataset generalization, domain shift, and dataset complexity in computer vision.
SpatialPrune
A dynamic token pruning approach for efficient vision and BEV perception models.
Service
- Senior Member, IEEE
- Reviewer for IEEE and SAE venues
- IEEE RAS Young Reviewers Program
- ACM Member
Contact
Email: shiva.a.aher@gmail.com
Website: www.shivaaher.com