Tootfinder

MCOP: Multi-UAV Collaborative Occupancy Prediction
Zefu Lin, Wenbo Chen, Xiaojuan Jin, Yuran Yang, Lue Fan, Yixin Zhang, Yufeng Zhang, Zhaoxiang Zhang
https://arxiv.org/abs/2510.12679

MCOP: Multi-UAV Collaborative Occupancy Prediction
Unmanned Aerial Vehicle (UAV) swarm systems necessitate efficient collaborative perception mechanisms for diverse operational scenarios. Current Bird's Eye View (BEV)-based approaches exhibit two main limitations: bounding-box representations fail to capture complete semantic and geometric information of the scene, and their performance significantly degrades when encountering undefined or occluded objects. To address these limitations, we propose a novel multi-UAV collaborative occupancy predi…

Yet Another Mirage of Breaking MIRAGE: Debunking Occupancy-based Side-Channel Attacks on Fully Associative Randomized Caches
Chris Cao, Gururaj Saileshwar
https://arxiv.org/abs/2508.10431

Yet Another Mirage of Breaking MIRAGE: Debunking Occupancy-based Side-Channel Attacks on Fully Associative Randomized Caches
Recent work presented at USENIX Security 2025 claims that occupancy-based attacks can recover AES keys from the MIRAGE randomized cache. In this paper, we examine these claims and find that they arise from fundamental modeling flaws. Most critically, the authors' simulation of MIRAGE uses a constant seed to initialize the random number generator used for global evictions in MIRAGE, causing every AES encryption they trace to evict the same deterministic sequence of cache lines. This artificially…

🇺🇦 #NowPlaying on KEXP's #MiddayShow
Kendrick Lamar:
🎵 squabble up
#KendrickLamar
https://ogvmusic.bandcamp.com/album/kendrick-lamar-squabble-up-g-mix
https://open.spotify.com/track/0nj9Bq5sHDiTxSHunhgkFb

The price of clown college is out of control!
https://www.mooseburger.com/product-page/moose-camp-registration-2026

🇺🇦 #NowPlaying on BBCRadio3's #RoundMidnight
Ebi Soda:
🎵 Milk In My Console
#EbiSoda
https://open.spotify.com/track/008dEKtOQpNLO2Clhx0UgD

Freedom fighters were always called "terrorists" by occupying powers who demand abject submission. Now that's extended to people who utter even the most timid peaceful protests as well.

Occupancy-aware Trajectory Planning for Autonomous Valet Parking in Uncertain Dynamic Environments
Farhad Nawaz, Faizan M. Tariq, Sangjae Bae, David Isele, Avinash Singh, Nadia Figueroa, Nikolai Matni, Jovin D'sa
https://arxiv.org/abs/2509.09206

Occupancy-aware Trajectory Planning for Autonomous Valet Parking in Uncertain Dynamic Environments
Accurately reasoning about future parking spot availability and integrated planning is critical for enabling safe and efficient autonomous valet parking in dynamic, uncertain environments. Unlike existing methods that rely solely on instantaneous observations or static assumptions, we present an approach that predicts future parking spot occupancy by explicitly distinguishing between initially vacant and occupied spots, and by leveraging the predicted motion of dynamic agents. We introduce a pr…

“How is it possible that a peace proposal ignores the International Court of Justice’s July 2024 Advisory Opinion, which reiterated that Israel’s occupation is illegal and must end?
How can it fail to mention the Palestinian’s right to self-determination?
Why are Palestinians, who have a right under international law to armed struggle against an occupying power, expected to disarm while Israel, the illegally occupying force, is not?”
And many more good questions.

Trump’s Sham Peace Plan
There will be no peace in Gaza. Only the temporary absence of war.

Learning to Generate 4D LiDAR Sequences
Ao Liang, Youquan Liu, Yu Yang, Dongyue Lu, Linfeng Li, Lingdong Kong, Huaici Zhao, Wei Tsang Ooi
https://arxiv.org/abs/2509.11959 https:…

Learning to Generate 4D LiDAR Sequences
While generative world models have advanced video and occupancy-based data synthesis, LiDAR generation remains underexplored despite its importance for accurate 3D perception. Extending generation to 4D LiDAR data introduces challenges in controllability, temporal stability, and evaluation. We present LiDARCrafter, a unified framework that converts free-form language into editable LiDAR sequences. Instructions are parsed into ego-centric scene graphs, which a tri-branch diffusion model transfor…

Semantic Causality-Aware Vision-Based 3D Occupancy Prediction
Dubing Chen, Huan Zheng, Yucheng Zhou, Xianfei Li, Wenlong Liao, Tao He, Pai Peng, Jianbing Shen
https://arxiv.org/abs/2509.08388

Semantic Causality-Aware Vision-Based 3D Occupancy Prediction
Vision-based 3D semantic occupancy prediction is a critical task in 3D vision that integrates volumetric 3D reconstruction with semantic understanding. Existing methods, however, often rely on modular pipelines. These modules are typically optimized independently or use pre-configured inputs, leading to cascading errors. In this paper, we address this limitation by designing a novel causal loss that enables holistic, end-to-end supervision of the modular 2D-to-3D transformation pipeline. Ground…