Enabling The Next Generation Of Smarter Self-Navigating Robots Using Hybrid ToF Technology

By Infineon - 03 Apr, 2024 - Comments: 0

Previous generations of robot vacuum cleaners have used a random pattern for cleaning that is inefficient and slow. Next-generation robots are much smarter and generate a map of the environment using sensors to localize themselves. This provides users with a floorplan of their home, from which the rooms and areas can be selected for cleaning or restricted from access. The new robots accomplish ... » read more

Radar-Based SLAM Algorithm (Ulm University)

By Technical Paper Link - 12 Jan, 2024 - Comments: 0

A technical paper titled “Simultaneous Localization and Mapping (SLAM) for Synthetic Aperture Radar (SAR) Processing in the Field of Autonomous Driving” was published by researchers at Ulm University. Abstract: "Autonomous driving technology has made remarkable progress in recent years, revolutionizing transportation systems and paving the way for safer and more efficient journeys. One of... » read more

How Do Robots Navigate?

By Vinod Khera - 20 Jul, 2023 - Comments: 1

Have you ever been amazed by the graceful movement of robots and self-driving vehicles in unfamiliar surroundings? The latest technological advancements have introduced self-cleaning robots, autonomous vehicles with incredible navigation abilities. This entails navigating through unfamiliar surroundings, capturing clear video footage, and performing processing at the edge. What's truly remarkab... » read more

HD Map (EdgeMap) Crowdsources Data From Connected Vehicles in Auto Edge Computing

By Technical Paper Link - 30 Apr, 2022 - Comments: 0

New research paper from University of Nebraska-Lincoln, Xidian University and University of North Carolina at Charlotte. Abstract "High definition (HD) map needs to be updated frequently to capture road changes, which is constrained by limited specialized collection vehicles. To maintain an up-to-date map, we explore crowdsourcing data from connected vehicles. Updating the map collaborati... » read more

OverlapNet: Loop Closing for LiDAR-based SLAM

By Technical Paper Link - 24 Mar, 2022 - Comments: 0

Abstract: "Simultaneous localization and mapping (SLAM) is a fundamental capability required by most autonomous systems. In this paper, we address the problem of loop closing for SLAM based on 3D laser scans recorded by autonomous cars. Our approach utilizes a deep neural network exploiting different cues generated from LiDAR data for finding loop closures. It estimates an image overlap gene... » read more

Understanding SLAM (Simultaneous Localization And Mapping)

By Ed Sperling - 19 Feb, 2020 - Comments: 0

Amol Borkar, senior product manager for AI and computer vision at Cadence, talks with Semiconductor Engineering about mapping and tracking the movement of an object in a scene, how to identify key corners in a frame, how probabilities of accuracy fit into the picture, how noise can affect that, and how to improve the performance and reduce power in these systems. » read more

Simultaneous Localization And Mapping

By Ed Sperling - 06 Nov, 2019 - Comments: 0

Amol Borkar, senior product manager at Cadence, explains how to track the movement of an object in a scene and how to match features from one image to the next using SLAM. The technology is used in everything from mobile phones to automotive and drones. » read more

New Vision Technologies For Real-World Applications

By Gordon Cooper - 03 Oct, 2019 - Comments: 0

Computer vision – the ability of a machine to ‘infer’ or extract useful information from a two-dimensional image or an uncompressed video stream of images – has the ability to change our lives. It can enable self-driving cars, empower robots or drones to see their way to delivering packages to your doorstep, and can turn your face into a payment method (Figure 1). To achieve these advan... » read more

Blog Review: June 5

By Jesse Allen - 05 Jun, 2019 - Comments: 0

Mentor's Neil Johnson argues that coverage closure shouldn't have to be mad scramble in the home stretch of development if designers change their early development mindset. In a video, Cadence's Amol Borkar explains Simultaneous Localization and Mapping, or SLAM, from the creation of a map of an unknown environment and understanding the orientation of a camera in this space. Synopsys' Tay... » read more

SLAM And DSP Implementation

By Cadence - 29 May, 2019 - Comments: 0

With the introduction of simultaneous localization and mapping technology, or SLAM, there comes a need for more sophisticated DSPs to handle the required computations. To address this need, Cadence has introduced the Tensilica Vision Q7 DSP to handle the requirements of SLAM, including high performance, low power, and with an ease of development that engineers can leverage to design new and exc... » read more

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Knowledge Centers
Entities, people and technologies explored

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by Ann Mutschler

NAND Flash Targets 1,000 Layers

New techniques go beyond improved deposition and etching, but challenges stack up, too.

by Bryon Moyer

3.5D: The Great Compromise

Pros and cons of a middle-ground chiplet assembly that combines 2.5D and 3D-IC.

by Ed Sperling

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Focus is on letting engineers do much more with the same or fewer resources — and less drudgery.

by Karen Heyman

What Comes After HBM For Chiplets

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by Brian Bailey

Memory Fundamentals For Engineers

eBook: Nearly everything you need to know about memory, including detailed explanations of the different types of memory; how and where these are used today; what's changing, which memories are successful and which ones might be in the future; and the limitations of each memory type.

by The SE Staff

New AI Processors Architectures Balance Speed With Efficiency

Hot Chips 24: Large language models ratchet up pressure for sustainable computing and heterogeneous integration; data management becomes key differentiator.

by Ed Sperling

tag: SLAM