activity
20192025
most citedReal-time Joint Object Detection and Semantic Segmentation Network for Automated Driving

32 citations · 108 across the 33 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024★ 1 cited

MapsTP: HD Map Images Based Multimodal Trajectory Prediction for Automated Vehicles

Sushil Sharma, Arindam Das, Ganesh Sistu +2

Predicting ego vehicle trajectories remains a critical challenge, especially in urban and dense areas due to the unpredictable behaviours of other vehicles and pedestrians. Multimo…

cs.CV2024

FisheyeDetNet: 360° Surround view Fisheye Camera based Object Detection System for Autonomous Driving

Ganesh Sistu, Senthil Yogamani

Object detection is a mature problem in autonomous driving with pedestrian detection being one of the first deployed algorithms. It has been comprehensively studied in the literatu…

cs.CV2024

Scalable and Efficient Hierarchical Visual Topological Mapping

Saravanabalagi Ramachandran, Jonathan Horgan, Ganesh Sistu +1

Hierarchical topological representations can significantly reduce search times within mapping and localization algorithms. Although recent research has shown the potential for such…

cs.CV2024

Fisheye Camera and Ultrasonic Sensor Fusion For Near-Field Obstacle Perception in Bird's-Eye-View

Arindam Das, Sudarshan Paul, Niko Scholz +4

Accurate obstacle identification represents a fundamental challenge within the scope of near-field perception for autonomous driving. Conventionally, fisheye cameras are frequently…

cs.CV2024

WoodScape Motion Segmentation for Autonomous Driving -- CVPR 2023 OmniCV Workshop Challenge

Saravanabalagi Ramachandran, Nathaniel Cibik, Ganesh Sistu +1

Motion segmentation is a complex yet indispensable task in autonomous driving. The challenges introduced by the ego-motion of the cameras, radial distortion in fisheye lenses, and…

cs.CV2024

Optimizing Ego Vehicle Trajectory Prediction: The Graph Enhancement Approach

Sushil Sharma, Aryan Singh, Ganesh Sistu +2

Predicting the trajectory of an ego vehicle is a critical component of autonomous driving systems. Current state-of-the-art methods typically rely on Deep Neural Networks (DNNs) an…