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Found 12 papers, 2 papers with code
Fisheye Camera and Ultrasonic Sensor Fusion For Near-Field Obstacle Perception in Bird's-Eye-View
Therefore, we present, to our knowledge, the first end-to-end multimodal fusion model tailored for efficient obstacle perception in a bird's-eye-view (BEV) perspective, utilizing fisheye cameras and ultrasonic sensors.
BEVSeg2TP: Surround View Camera Bird's-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction
The proposed method in this paper predicts trajectories by considering perception and trajectory prediction as a unified system.
Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle Safety
To address this limitation, we have developed a synthetic dataset for short-term trajectory prediction tasks using the CARLA simulator.
Revisiting Modality Imbalance In Multimodal Pedestrian Detection
Multimodal learning, particularly for pedestrian detection, has recently received emphasis due to its capability to function equally well in several critical autonomous driving scenarios such as low-light, night-time, and adverse weather conditions.
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation
The proposed framework has improved state-of-the-art performances of pose estimation, pedestrian detection, and instance segmentation.
Ranked #18 on
Pose Estimation
on COCO test-dev
UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal
Shadows are frequently encountered natural phenomena that significantly hinder the performance of computer vision perception systems in practical settings, e. g., autonomous driving.
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving
Fusion of these two encoded features takes place inside a multimodal feature embedding module (MuFEm) consisting of several groups of a pair of Graph Attention Network and a feature fusion unit.
TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric
Localized detection of soiling in an image is necessary to control the cleaning system.
SoildNet: Soiling Degradation Detection in Autonomous Driving
In the field of autonomous driving, camera sensors are extremely prone to soiling because they are located outside of the car and interact with environmental sources of soiling such as rain drops, snow, dust, sand, mud and so on.
Design of Real-time Semantic Segmentation Decoder for Automated Driving
Semantic segmentation remains a computationally intensive algorithm for embedded deployment even with the rapid growth of computation power.
Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks
In this work, a region-based Deep Convolutional Neural Network framework is proposed for document structure learning.
Ranked #23 on
Document Image Classification
on RVL-CDIP
Rejection-Cascade of Gaussians: Real-time adaptive background subtraction framework
We achieve a good improvement in speed without compromising the accuracy with respect to the baseline GMM model.
