activity
20152020
most citedLiDAR-Camera Calibration using 3D-3D Point correspondences

148 citations · 155 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV2020

Hierarchical Image Classification using Entailment Cone Embeddings

Ankit Dhall, Anastasia Makarova, Octavian Ganea +3

Image classification has been studied extensively, but there has been limited work in using unconventional, external guidance other than traditional image-label pairs for training.…

cs.LG2020★ 3 cited

Learning Representations For Images With Hierarchical Labels

Ankit Dhall

Image classification has been studied extensively but there has been limited work in the direction of using non-conventional, external guidance other than traditional image-label p…

cs.RO2019

AMZ Driverless: The Full Autonomous Racing System

Juraj Kabzan, Miguel de la Iglesia Valls, Victor Reijgwart +19

This paper presents the algorithms and system architecture of an autonomous racecar. The introduced vehicle is powered by a software stack designed for robustness, reliability, and…

cs.CV2019

Real-time 3D Traffic Cone Detection for Autonomous Driving

Ankit Dhall, Dengxin Dai, Luc Van Gool

Considerable progress has been made in semantic scene understanding of road scenes with monocular cameras. It is, however, mainly related to certain classes such as cars and pedest…

cs.CV2018★ 2 cited

Real-time 3D Pose Estimation with a Monocular Camera Using Deep Learning and Object Priors On an Autonomous Racecar

Ankit Dhall

We propose a complete pipeline that allows object detection and simultaneously estimate the pose of these multiple object instances using just a single image. A novel "keypoint reg…

cs.RO2017★ 148 cited

LiDAR-Camera Calibration using 3D-3D Point correspondences

Ankit Dhall, Kunal Chelani, Vishnu Radhakrishnan +1

With the advent of autonomous vehicles, LiDAR and cameras have become an indispensable combination of sensors. They both provide rich and complementary data which can be used by va…