2 papers
cs.CV2026
Adversarial Flow Matching for Imperceptible Attacks on End-to-End Autonomous Driving
Xinyu Zeng, Xiangkun He, Lei Tao +2
Autonomous driving (AD) is evolving towards end-to-end (E2E) frameworks through two primary paradigms: monolithic models exemplified by Vision-Language-Action (VLA), and specialize…
cs.CV2024
MMLF: Multi-modal Multi-class Late Fusion for Object Detection with Uncertainty Estimation
Qihang Yang, Yang Zhao, Hong Cheng
Autonomous driving necessitates advanced object detection techniques that integrate information from multiple modalities to overcome the limitations associated with single-modal ap…