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09/16/2023
Multi-camera Bird's Eye View Perception for Autonomous Driving
Most automated driving systems comprise a diverse sensor set, including ...
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03/03/2023
X^3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection
Recent advances in 3D object detection (3DOD) have obtained remarkably s...
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01/11/2023
Optical Flow for Autonomous Driving: Applications, Challenges and Improvements
Optical flow estimation is a well-studied topic for automated driving ap...
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10/13/2022
X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation
Bird's-eye-view (BEV) grid is a common representation for the perception...
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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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06/25/2022
Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes
Modern object detection architectures are moving towards employing self-...
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06/06/2022
SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving
Spiking Neural Networks are a recent and new neural network design appro...
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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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03/29/2022
UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal
Shadows are frequently encountered natural phenomena that significantly ...
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03/09/2022
SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving
Surround-view cameras are a primary sensor for automated driving, used f...
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03/02/2022
Detecting Adversarial Perturbations in Multi-Task Perception
While deep neural networks (DNNs) achieve impressive performance on envi...
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11/08/2021
LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation
Moving object detection and segmentation is an essential task in the Aut...
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08/17/2021
A Hybrid Sparse-Dense Monocular SLAM System for Autonomous Driving
In this paper, we present a system for incrementally reconstructing a de...
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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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07/15/2021
Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving
Deep neural networks (DNNs) have accomplished impressive success in vari...
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07/11/2021
BEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving
Detection of moving objects is a very important task in autonomous drivi...
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05/26/2021
An Online Learning System for Wireless Charging Alignment using Surround-view Fisheye Cameras
Electric Vehicles are increasingly common, with inductive chargepads bei...
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05/26/2021
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving
Pedestrian Detection is the most critical module of an Autonomous Drivin...
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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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04/28/2021
Weather and Light Level Classification for Autonomous Driving: Dataset, Baseline and Active Learning
Autonomous driving is rapidly advancing, and Level 2 functions are becom...
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04/26/2021
Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances
Vision-based driver assistance systems is one of the rapidly growing res...
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04/26/2021
Computer vision in automated parking systems: Design, implementation and challenges
Automated driving is an active area of research in both industry and aca...
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04/22/2021
VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving
Moving object Detection (MOD) is a critical task in autonomous driving a...
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04/21/2021
Exploring 2D Data Augmentation for 3D Monocular Object Detection
Data augmentation is a key component of CNN based image recognition task...
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04/21/2021
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving
LiDAR based 3D object detection is a crucial module in autonomous drivin...
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04/09/2021
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras
A 360 perception of scene geometry is essential for automated driving, n...
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03/31/2021
Near-field Sensing Architecture for Low-Speed Vehicle Automation using a Surround-view Fisheye Camera System
Cameras are the primary sensor in automated driving systems. They provid...
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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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08/16/2020
InstanceMotSeg: Real-time Instance Motion Segmentation for Autonomous Driving
Moving object segmentation is a crucial task for autonomous vehicles as ...
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08/10/2020
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving
State-of-the-art self-supervised learning approaches for monocular depth...
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07/19/2020
Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation
Single encoder-decoder methodologies for semantic segmentation are reach...
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07/13/2020
UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models
In classical computer vision, rectification is an integral part of multi...
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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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02/02/2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
With the development of deep representation learning, the domain of rein...
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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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12/01/2019
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving
Moving Object Detection (MOD) is a critical task for autonomous vehicles...
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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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10/07/2019
FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving
Fisheye cameras are commonly used in applications like autonomous drivin...
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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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06/01/2019
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving
LiDAR has become a standard sensor for autonomous driving applications a...
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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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02/26/2019
