Spatial Reasoning from Sensor Data

Overview

Reference No	TGS-2020001513
Part of	Graduate Certificate in Intelligent Sensing Systems
Duration	3 days
Course Time	9.00am - 5.00pm
Enquiry	Please email ask-iss@nus.edu.sg for more details

How can you transform raw sensor data into smart decisions for spatial reasoning?

Unlock the potential of spatial sensing and reasoning technology in this course, designed for professionals seeking to master the art of interpreting sensor data for a variety of cutting-edge applications. Once reserved for specialised enterprise and industrial use, such as urban planning and robotic navigation, these technologies have now expanded into a plethora of markets, including automotive, consumer goods, and industrial sectors.

This course not only lays the theoretical groundwork but also emphasises practical skills through practical workshop sessions. Participants will engage in practical activities to simulate real-world scenarios, applying spatial sensing and reasoning techniques to solve complex problems.

Course Content

Spatial Sensing: 3D sensor data representation and modelling.
Spatial Reasoning: Place localisation and recognition from sensory data (e.g., NetVLAD).
Spatial Recognition: Object and scene recognition from 3D data using deep learning (e.g., PointNet).
Practicality: Practical case studies and workshops.

This course is part of the Artificial Intelligence and Graduate Certificate in Intelligent Sensing Systems Series offered by NUS-ISS.

Key Takeaways

Master the essential principles of spatial sensing and reasoning technologies, encompassing scene representation, scanning, mapping, and the utilisation of both feature-based and advanced machine learning methodologies.
Develop the ability to critically analyse, evaluate, and synthesise solutions for complex spatial sensing and reasoning challenges.
Gain practical experience in constructing spatial sensing and reasoning systems, with applications extending to robotics, augmented reality, and other innovative fields.

Who Should Attend

Data Scientists seeking to enhance their analytical skills in interpreting 3D sensor data for spatial reasoning tasks.
Product Managers responsible for initiating and overseeing projects and products that incorporate spatial reasoning technologies.
Solution Architects aiming to embed spatial reasoning functionalities into intelligent sensing solutions as part of their system design.
Robotic System Managers who leverage 3D vision technology to augment the spatial reasoning capabilities of robotic systems.

Prerequisites

Participants should have intermediate skills in Python programming (e.g. Numpy, Pandas), and/or OpenCV programming (e.g. able to apply filtering and transformation on the image).

Experienced in using Jupyter Notebooks, Google Colab and well-versed in package installation.

Participants must have an intermediate knowledge of computer vision at the level of Vision Systems (e.g. image processing, image classification and object detection using deep learning).

Course Logistics

No Printed Materials: Course materials are accessed digitally. Do kindly note that no printed copies of course materials will be issued.
Device Requirements: Bring an internet-enabled device (laptop, tablet, etc) with power chargers to access and download course materials.

If you are bringing a laptop, kindly refer to the table below for the recommended tech specs:

	Minimum	Recommended
Operating Systems	• Windows 7 above • Mac OS	Laptop running the latest version of either Windows or Mac OS
System Type	32-bit	64-bit
Memory	8 GB RAM	16+ GB RAM
Hard Drive	256 GB disk size
Others	• An internet connection – broadband wired or wireless • Installation permissions (non-company laptops) • Keyboard • Mouse/Trackpad • Display • Power adapter (laptop battery might run out)	DirectX 10 graphics card for graphics hardware acceleration

Fees & Subsidies

Fees for 2024

	Full Fee	Singaporeans & PRs (self-sponsored)
Full course fee	S$2700	S$2700
ISS Subsidy	-	(S$270)
Nett course fee	S$2700	S$2430
9% GST on nett course fee	S$243	S$218.70
Total nett course fee payable, including GST	S$2943	S$2648.70

Note:

All fees and subsidies are valid from January 2024, unless otherwise advised.
All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
From 1st January 2024, the GST will be increased to 9%.

Certificate

Certificate of Completion
Participants have to meet a minimum attendance rate of 75% and are required to pass the assessment to be issued a Certificate of Completion.

Join Us

Preparing for Your Course

NUS-ISS Course Registration Terms and Conditions

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NUS-ISS and Learner’s Commitment and Responsibilities

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WIFI Access

WIFI access will be made available to participants.

Venue

NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615

Click HERE for directions to NUS-ISS

In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

Course Confirmation

All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

General Enquiry

Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.

Course Resources

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