Vision-based semantic segmentation in scene understanding for autonomous driving: Recent achievements, challenges, and outlooks
Scene understanding plays a crucial role in autonomous driving by utilizing sensory data for
contextual information extraction and decision making. Beyond modeling advances, the …
contextual information extraction and decision making. Beyond modeling advances, the …
Clip the gap: A single domain generalization approach for object detection
Abstract Single Domain Generalization (SDG) tackles the problem of training a model on a
single source domain so that it generalizes to any unseen target domain. While this has …
single source domain so that it generalizes to any unseen target domain. While this has …
Robust multimodal vehicle detection in foggy weather using complementary lidar and radar signals
Vehicle detection with visual sensors like lidar and camera is one of the critical functions
enabling autonomous driving. While they generate fine-grained point clouds or high …
enabling autonomous driving. While they generate fine-grained point clouds or high …
[HTML][HTML] Object detection and tracking in Precision Farming: a systematic review
Abstract Object Detection and Tracking have gained importance in recent years because of
the great advances in image and video analysis techniques and the accurate results these …
the great advances in image and video analysis techniques and the accurate results these …
Traffic management: Multi-scale vehicle detection in varying weather conditions using yolov4 and spatial pyramid pooling network
Detecting and counting on road vehicles is a key task in intelligent transport management
and surveillance systems. The applicability lies both in urban and highway traffic monitoring …
and surveillance systems. The applicability lies both in urban and highway traffic monitoring …
Single-domain generalized object detection in urban scene via cyclic-disentangled self-distillation
In this paper, we are concerned with enhancing the generalization capability of object
detectors. And we consider a realistic yet challenging scenario, namely Single-Domain …
detectors. And we consider a realistic yet challenging scenario, namely Single-Domain …
Wedge: A multi-weather autonomous driving dataset built from generative vision-language models
The open road poses many challenges to autonomous perception, including poor visibility
from extreme weather conditions. Models trained on good-weather datasets frequently fail at …
from extreme weather conditions. Models trained on good-weather datasets frequently fail at …
Drone-based RGB-infrared cross-modality vehicle detection via uncertainty-aware learning
Drone-based vehicle detection aims at detecting vehicle locations and categories in aerial
images. It empowers smart city traffic management and disaster relief. Researchers have …
images. It empowers smart city traffic management and disaster relief. Researchers have …
RFAConv: Innovating spatial attention and standard convolutional operation
X Zhang, C Liu, D Yang, T Song, Y Ye, K Li… - arxiv preprint arxiv …, 2023 - arxiv.org
Spatial attention has been widely used to improve the performance of convolutional neural
networks. However, it has certain limitations. In this paper, we propose a new perspective on …
networks. However, it has certain limitations. In this paper, we propose a new perspective on …
Object detection in adverse weather for autonomous driving through data merging and YOLOv8
For autonomous driving, perception is a primary and essential element that fundamentally
deals with the insight into the ego vehicle's environment through sensors. Perception is …
deals with the insight into the ego vehicle's environment through sensors. Perception is …