I've recently completed the assembly of a SunFounder PiCar-X and am currently running it on a legacy Raspberry Pi B. I have the base movement and motor control working and am currently prepping to get it chasing ArUco/AprilTags this coming week. I'm looking to evolve this platform into something capable of SLAM and eventually Structure from Motion (SfM). I'd love to get some community advice on the best way to handle these upgrades: Traction The stock wheels are quite slippery. Has anyone found direct-fit replacement tires or wheels that offer better grip on smooth indoor surfaces? Odometry Since the stock motors lack encoders, my dead reckoning is non-existent. Should I attempt to mount external encoders to these motors, or is it better to swap out the motor/gearbox assembly entirely for something with integrated feedback? IMU for SLAM I'm planning to add an accelerometer/gyroscope. Any specific sensors (such as the BNO055 vs. MPU6050) that are currently considered the "gold standard" for stability and ease of integration on a Raspberry Pi? Computer Vision The current camera resolution is limiting for SfM. Any recommendations for a higher-resolution CSI or USB camera that fits well within the PiCar's chassis? ROS 2 / Distributed Computing A specific question on the software side: I'm planning to move this platform to ROS 2. Given that I'm working with a legacy Raspberry Pi B, is this a lost cause, or should I keep the Pi as a low-level hardware node and offload the heavy ROS 2 processing, SLAM, and visualization tasks to a more powerful machine on my network? If a distributed setup is the preferred approach, what does the typical workflow look like? For example: Pi handles motor control, sensors, and camera acquisition ROS 2 nodes run on a desktop/laptop workstation Visualization and mapping performed via RViz on the workstation Communication over Wi-Fi using DDS Is this the recommended architecture, or are there better approaches for a platform like the PiCar-X? General Advice Any feedback on the hardware upgrade path, software architecture, or general "gotchas" with this kit would be greatly appreciated. Thanks in advance! submitted by /u/okineedaplan [link] [Kommentare]

Recently the question If $\frac{d}{dx}$ is an operator, on what does it operate? was asked on mathoverflow. It seems that some users there objected to the question, apparently interpreting it as a…

The Domain Name System (DNS) was designed under the implicit assumption that the underlying transport would be fast, reliable, and free from predation. This document specifies DNS over Avian Carriers (DoAC), enabling hostname resolution for networks operating over avian-carrier infrastructure. Without DoAC, operators of avian- carrier networks are forced to hardcode IP addresses directly onto their Carriers, a practice that does not scale and is widely considered inelegant.

Why any strategy built on appeasing the loudest voices on social media is doomed to fail.

Apple developers can now securely call cloud-hosted Gemini models using the Foundation Models framework, and access Gemini in Xcode.

How to use AI, IDE, and testrunner settings to implant a node.js or bun based self-spreading Worm

Tracking cryptocurrency and artificial intelligence industry influence on 2026 elections in the United States.

Trophic memory in deer antlers: a remarkable phenomenon showing how the morphogenetic collective intelligence learns from experience. In this post I talk about George Bubenik, who discovered this p…

Drop in a LinkedIn profile. Lead Qualifier researches the person across the web, builds a full dossier, and drafts outreach in their voice.

crates.io serves as a central registry for sharing crates, which are packages or libraries written in Rust that you can use to enhance your projects

A counterintuitive hot-path optimization: Swapping IDIVQ for DIVSD to divide integers faster

Back in September, I blogged about a bug that I discovered: URL/NSURL double-encodes characters unnecessarily. Despite my well-known hatred of Feedback Assistant, I reluctantly used it in this case. I’ve filed a bug report in Apple Feedback Assistant: “URL/NSURL double-encodes characters unnecessarily” (FB20439045). It turns out that miracles do happen. See today’s macOS Golden Gate 27 Beta Release Notes and iOS & iPadOS 27 Beta Release Notes. Fixed: +[NSURL URLWithString:] no longer double-encodes the % of valid percent-escape sequences when encoding other invalid characters. (161588649) (FB20439045) That’s my Feedback number, and my bug! Apple deemed it important enough to fix and to highlight. My internet fame grows. ;-) We’ll see if Apple updates my bug report. As of now, it still says, “Recent Similar Reports: None” and “Resolution: Open.” Anyway, I thank the anonymous Apple employees who made this happy day possible.