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08/16/2023
Self-Supervised Online Camera Calibration for Automated Driving and Parking Applications
Camera-based perception systems play a central role in modern autonomous...
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07/18/2023
Towards a performance analysis on pre-trained Visual Question Answering models for autonomous driving
This short paper presents a preliminary analysis of three popular Visual...
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07/11/2023
Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle Safety
Autonomous vehicles require accurate and reliable short-term trajectory ...
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04/14/2023
Near Field iToF LIDAR Depth Improvement from Limited Number of Shots
Indirect Time of Flight LiDARs can indirectly calculate the scene's dept...
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02/24/2023
Revisiting Modality Imbalance In Multimodal Pedestrian Detection
Multimodal learning, particularly for pedestrian detection, has recently...
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10/26/2022
Fast and Efficient Scene Categorization for Autonomous Driving using VAEs
Scene categorization is a useful precursor task that provides prior know...
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06/26/2022
Woodscape Fisheye Object Detection for Autonomous Driving – CVPR 2022 OmniCV Workshop Challenge
Object detection is a comprehensively studied problem in autonomous driv...
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06/15/2022
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation
Most of the existing works on pedestrian pose estimation do not consider...
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05/31/2022
ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation
Generating a detailed near-field perceptual model of the environment is ...
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05/04/2022
Neuroevolutionary Multi-objective approaches to Trajectory Prediction in Autonomous Vehicles
The incentive for using Evolutionary Algorithms (EAs) for the automated ...
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07/17/2021
Woodscape Fisheye Semantic Segmentation for Autonomous Driving – CVPR 2021 OmniCV Workshop Challenge
We present the WoodScape fisheye semantic segmentation challenge for aut...
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05/17/2021
Pseudo-Label Ensemble-based Semi-supervised Learning for Handling Noisy Soiling Segmentation Annotations
Manual annotation of soiling on surround view cameras is a very challeng...
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02/27/2021
FisheyeSuperPoint: Keypoint Detection and Description Network for Fisheye Images
Keypoint detection and description is a commonly used building block in ...
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12/03/2020
Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline
Object detection is a comprehensively studied problem in autonomous driv...
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10/16/2020
Learning Panoptic Segmentation from Instance Contours
Panoptic Segmentation aims to provide an understanding of background (st...
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07/01/2020
TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric
Automotive cameras, particularly surround-view cameras, tend to get soil...
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01/07/2020
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems
Deep multi-task networks are of particular interest for autonomous drivi...
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01/07/2020
Trained Trajectory based Automated Parking System using Visual SLAM
Automated Parking is becoming a standard feature in modern vehicles. Exi...
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12/23/2019
FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System
Automated Parking is a low speed manoeuvring scenario which is quite uns...
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12/04/2019
Let's Get Dirty: GAN Based Data Augmentation for Soiling and Adverse Weather Classification in Autonomous Driving
Cameras are getting more and more important in autonomous driving. Wide-...
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10/11/2019
FuseMODNet: Real-Time Camera and LiDAR based Moving Object Detection for robust low-light Autonomous Driving
Moving object detection is a critical task for autonomous vehicles. As d...
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08/30/2019
FisheyeMODNet: Moving Object detection on Surround-view Cameras for Autonomous Driving
Moving Object Detection (MOD) is an important task for achieving robust ...
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05/04/2019
SoilingNet: Soiling Detection on Automotive Surround-View Cameras
Cameras are an essential part of sensor suite in autonomous driving. Sur...
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05/04/2019
WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving
Fisheye cameras are commonly employed for obtaining a large field of vie...
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04/15/2019
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning
Multi-task learning is commonly used in autonomous driving for solving v...
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02/10/2019
NeurAll: Towards a Unified Model for Visual Perception in Automated Driving
Convolutional Neural Networks (CNNs) are successfully used for the impor...
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01/17/2019
AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving
Decision making in automated driving is highly specific to the environme...
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01/12/2019
Real-time Joint Object Detection and Semantic Segmentation Network for Automated Driving
Convolutional Neural Networks (CNN) are successfully used for various vi...
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01/08/2019