852 citations · 1.5k across the 82 of their papers we have counts for
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Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline
Hazem Rashed, Eslam Mohamed, Ganesh Sistu +4
Object detection is a comprehensively studied problem in autonomous driving. However, it has been relatively less explored in the case of fisheye cameras. The standard bounding box…
Learning Panoptic Segmentation from Instance Contours
Sumanth Chennupati, Venkatraman Narayanan, Ganesh Sistu +2
Panoptic Segmentation aims to provide an understanding of background (stuff) and instances of objects (things) at a pixel level. It combines the separate tasks of semantic segmenta…
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-task Baseline
Eslam Mohamed, Mahmoud Ewaisha, Mennatullah Siam +5
Moving object segmentation is a crucial task for autonomous vehicles as it can be used to segment objects in a class agnostic manner based on their motion cues. It enables the dete…
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving
Varun Ravi Kumar, Marvin Klingner, Senthil Yogamani +3
State-of-the-art self-supervised learning approaches for monocular depth estimation usually suffer from scale ambiguity. They do not generalize well when applied on distance estima…
Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation
Gabriel L. Oliveira, Senthil Yogamani, Wolfram Burgard +1
Single encoder-decoder methodologies for semantic segmentation are reaching their peak in terms of segmentation quality and efficiency per number of layers. To address these limita…
UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models
Varun Ravi Kumar, Senthil Yogamani, Markus Bach +3
In classical computer vision, rectification is an integral part of multi-view depth estimation. It typically includes epipolar rectification and lens distortion correction. This pr…
TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric
Arindam Das, Pavel Krizek, Ganesh Sistu +5
Automotive cameras, particularly surround-view cameras, tend to get soiled by mud, water, snow, etc. For higher levels of autonomous driving, it is necessary to have a soiling dete…
Deep Reinforcement Learning for Autonomous Driving: A Survey
B Ravi Kiran, Ibrahim Sobh, Victor Talpaert +4
With the development of deep representation learning, the domain of reinforcement learning (RL) has become a powerful learning framework now capable of learning complex policies in…
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems
Isabelle Leang, Ganesh Sistu, Fabian Burger +2
Deep multi-task networks are of particular interest for autonomous driving systems. They can potentially strike an excellent trade-off between predictive performance, hardware cons…
Trained Trajectory based Automated Parking System using Visual SLAM on Surround View Cameras
Nivedita Tripathi, Senthil Yogamani
Automated Parking is becoming a standard feature in modern vehicles. Existing parking systems build a local map to be able to plan for maneuvering towards a detected slot. Next gen…