NDT Localization Outline
在无人车驾驶中，高精度的定位是一个很基础的业务，非常重要。 本周和大家分享两个无人驾驶中整套开源解决方案中的定位部分，首先分享日本名古屋大学 ...
iMorpheus.ai
Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation in Radar
In this video we provide an overview of our recent paper: Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric ...
ORI - Oxford Robotics Institute
GOMSF: Graph-Optimization based Multi-Sensor Fusion for robust UAV pose estimation
ICRA 2018 Spotlight Video Interactive Session Tue PM Pod B.2 Authors: Mascaro Palliser, Ruben; Teixeira, Lucas; Hinzmann, Timo; Siegwart, Roland; Chli, ...
ICRA 2018
Innoviz Webinar: LiDAR vs Camera (with Mati Shani & Dr. Raja Giryes)
There is an ongoing debate within the autonomous vehicle (AV) industry about the role of cameras and LiDAR sensors in enabling a safe AV future. Can AVs ...
Innoviz Technologies
Visual Odometry
The presentations from the ArduPilot 2020 unConference All talks were virtual due to the worldwide health restrictions.
ArduPilot
Autoware Course Lecture 10: State Estimation for Localization
This week we keep going for real! In this lecture, we are going to learn about localization methods, how they are implemented in Autoware.Auto and how they ...
Apex AI
Deep learning for technical computations and equation solving
Adam Andersson, PhD and team leader at Syntronic, presents "Deep learning for technical computations and equation solving" at a meetup hosted by the ...
GAIA
Scientific Visualization Panel
Paul Melis, Adam Kalisz, Milan Jaros, Marwan Abdellah, Mike Simpson, Sybren A. Stüvel Support core Blender development - https://fund.blender.org.
Blender
Autoware Course Lecture 7: Object Perception: LIDAR
Now it goes for real! After the foundations you learnt on previous Lectures, now you will actually start building the self-driving stack. In this lecture, we are starting ...
Apex AI
A simple MEMS gyro model using MATLAB / Simulink
Get the map of control theory: https://www.redbubble.com/shop/ap/55089837 Download eBook on the fundamentals of control theory (in progress): ...
Brian Douglas
A Sensor Fusion Approach towards Gesture Recognition on the Wearable Ring Form Factor
Performing gesture recognition without infrastructure has been a long desired feature for seamless human computer interaction. In recent years, tablets and ...
Microsoft Research
Robust Multiview Reconstruction
I will speak about my past and current research in automatic 3D reconstruction from images. While the two-view camera calibration is a well studied problem, the ...
Microsoft Research
Understand & Code a Kalman Filter [Part 2, Python]
Let's implement a Kalman Filter for tracking in Python. 00:00 Intro 00:09 Set up virtualenv and dependencies 01:40 First KF class 04:16 Adding tests with unittest ...
CppMonk
Advanced approaches to autonomous vehicle testing
Are dedicated test facilities relevant to developing high level automation? Making optimum use of existing test facilities for testing ADAS & automated features ...
AutoSens
Achieving Robust Perception Across Any Architecture - From Cameras to...
Deep Fusion to Even Seeing Around Corners This talk will review inherent and architectural limitations of ADAS and AD sensors for computer vision / perception ...
AutoSens
MSR Course - 05 Motion and Sensor Models (Stachniss)
MSR Course - 05 Motion and Sensor Models (Stachniss) Mobile Sensing and Robotics / PhoRS Course at Bonn University By Nived Chebrolu and Cyrill ...
Cyrill Stachniss
Intermittent GPS-aided VIO Paper Presentation - ICRA 2020
In this paper, we present an efficient and robust GPS-aided visual inertial odometry (GPS-VIO) system that fuses IMU-camera data with intermittent GPS ...
Robot Perception and Navigation Group
Ross Hartley: PhD Defense
In one of the first PhD defenses for Michigan Robotics, Ross Hartley talks on improving the performance of legged robots. Hartley presented this defense, ...
umrobotics
Virtual Conference on Wearable Technologies & Applications (WeTA 2020)
Virtual Conference on Wearable Technologies & Applications (WeTA 2020): Emerging Trends and Innovations Organized by Centre for Wearable Technology ...
Vellore Institute of Technology
When to trust a self-driving car
2018 Milner Award Lecture given by Professor Marta Kwiatkowska. How can we ensure system correctness in the presence of uncertainty? Computing devices ...
The Royal Society
ISP optimization for ML/CV automotive applications
This presentation describes how ISP can be optimised for automotive ML/CV applications on algorithmic level. Why we need ISP in the first place and what kind ...
AutoSens
How We Think about Innovation at Amazon
Learn more about AWS at – https://amzn.to/30fUVYL In this session, we cover some of the mechanisms and best practices that help us innovate at Amazon.
Amazon Web Services
AI in Action Virtual Meetup - Computer Vision 2.0
The 7th AI in Action Virtual Meetup took place on Wednesday 29th of July from 5pm CET as we were joined by three great speakers to talk all things Computer ...
Alldus International
Automotive camera technology and computer vision algorithms
What problems do we face in camera-based automotive systems? How does algorithm performance depend on imager technology? What are the requirements ...
AutoSens
Sumeet Singh Ph.D. Defense - A Realtime Algorithmic Framework for Robust Autonomy in Robotic Systems
Description here.
Stanford Autonomous Systems Laboratory
Integrate Accelerometer Signals with Artemis SUITE 8/8
Measuring acceleration is easy with accelerometer sensors. But by touching a machine we do not feel the acceleration at this spot – we feel the displacement ...
HEAD acoustics International
DataTalks HFA #6 at hiCenter
DataTalks HFA will bring together local data scientists, researchers, statisticians and data enthusiasts around advanced data science, machine learning and AI.
DataHack Haifa
The Reality & Future of Automated Driving - Professor John Leonard, MIT
What are the different levels & approaches of automated driving What have been the key breakthroughs along the way to where we are now? What are the most ...
MIT Club of Northern California
Combining Deep Learning and Model-Based Methods for Robust Real-Time Semantic Landmark Detection
This video belongs to our paper submitted to IEEE 22nd International Conference on Information Fusion 2019 in Ottawa, Canada: Combining Deep Learning ...
unibwtas
Intro and Keynote
IEEE Symposium on Security and Privacy
3D Lidar-IMU Calibration Based on Upsampled Preintegrated Measurements for Motion Distortion Correct
ICRA 2018 Spotlight Video Interactive Session Tue PM Pod O.2 Authors: Le Gentil, Cedric; Vidal-Calleja, Teresa A.; Huang, Shoudong Title: 3D Lidar-IMU ...
ICRA 2018
Geometric methods in wearable signal modeling / health and rehab
A summary of some recent work in using geometric techniques for robust modeling of time-series from wearables, with applications to health analytics, ...
Pavan Turaga
[CVPR'20 Workshop on Scalability in Autonomous Driving] Poster Spotlights
Talk given on 2020-06-15. 2:48 - Geometry-Aware Instance Segmentation with Disparity Maps by Cho-Ying Wu, USC 10:58 - Human-Centric Efficiency ...
CVPR'20 WSAD
Probabilistic Program Analysis using Martingale Theory
Probabilistic programs are standard imperative programs enriched with constructs to generate random values according to a pre-specified distribution.
Microsoft Research
USENIX Enigma 2017 — Hacking Sensors
Yongdae Kim, Professor, Korea Advanced Institute of Science and Technology (KAIST) Sensors are designed to measure sensor inputs (e.g., physical ...
USENIX Enigma Conference
17 - Eclipse Cyclone DDS Makes ROS 2 Easier, Smaller, Faster, Joe Speed, ADLINK
Seven years after the very first public event entirely devoted to discussing the potential benefits of a shared, open-source framework for industrial robotics and ...
ROS-I Consortium
Addressing the image sensor requirement for the autonomous driving challenge
Exploring the boundary conditions for autonomous driving • How human eyes adapts under different traffic and road conditions • If we want to replace human ...
AutoSens
Seminários: Reconstruction of 3D Models and Scenes from Heterogeneous Sources
Simone Milani Department of Information Engineering University of Padova, Italy Reconstruction of 3D Models and Scenes from Heterogeneous Sources 3D ...
Unicamp IC
Challenges in Automotive Image Quality
Imatest's Norman Koren presents his vision for challenges in automotive image quality testing. - Review the challenges for human observers and/or machine ...
Imatest LLC
Testing Challenges with Autonomous driving - The RAW facts on Disengagements - Live Webinar
Helping to address and study the challenges faced by automakers, suppliers and vehicle researchers, the level of sophisticated debug and data logger has ...
Intrepid Control Systems
Introduction to Model Predictive Control Toolbox
Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: https://goo.gl/RjJAkE Learn more about MATLAB: ...
MATLAB
NSDI '19 - 3D Backscatter Localization for Fine-Grained Robotics
Zhihong Luo, Qiping Zhang, Yunfei Ma, Manish Singh, and Fadel Adib, MIT Media Lab This paper presents the design and implementation of TurboTrack, a 3D ...
USENIX
