Tag: autonomous driving

A new RGB-depth salient object detection framework combines multi-level attention-based feature fusion with a WebP compression and denoising defense that ...

Researchers have developed AdaTent++, a test-time adaptation framework that routes each unlabeled frame through reliability-gated paths to improve traffic sign ...

A neuro-fuzzy risk index that fuses braking demand and inter-vehicle gap helped a simulated Level 3 autonomous car detect lane-change ...

A new hierarchical reinforcement learning framework pairing DDQN and DDPG cuts collision rates by more than half and reduces passenger ...

Researchers developed Found-RL, an open-source platform that lets vision-language models mentor lightweight reinforcement learning agents asynchronously, producing compact autonomous driving ...

Researchers have unveiled OATA, a test-time adaptation framework that lets traffic-sign image-text matching models recover from rain, fog, glare and ...

Researchers have developed a lightweight frequency-based AI detector that achieves state-of-the-art accuracy and real-time speed on cluttered traffic scenes, running ...

A new few-shot object detection framework called FUSED-Net detects traffic signs with up to 2.4 times better accuracy than state-of-the-art ...

Researchers at IIITDM Kancheepuram have developed DECA-YOLO, a lightweight dual-pooling channel attention enhancement to YOLOv7 that improves real-time pedestrian detection ...

Researchers from Democritus University of Thrace propose DDMnet, a lightweight depthwise separable network integrated with Mask2Former, achieving near state-of-the-art instance ...