Computer vision systems are increasingly adopted in modern logistics operations, including the estimation of trailer occupancy for planning, routing, and billing. Although effective, such systems may be vulnerable to physical adversarial attacks, particularly adversarial patches that can be printed and placed on interior surfaces. In this work, we study the feasibility of such attacks on a convolutional cargo-occupancy classifier using fully simulated 3D environments. Using Mitsuba 3 for differentiable rendering, we optimize patch textures across variations in geometry, lighting, and viewpoint, and compare their effectiveness to a 2D compositing baseline. Our experiments demonstrate that 3D-optimized patches achieve high attack success rates, especially in a denial-of-service scenario (empty to full), where success reaches 84.94 percent. Concealment attacks (full to empty) prove more challenging but still reach 30.32 percent. We analyze the factors influencing attack success, discuss implications for the security of automated logistics pipelines, and highlight directions for strengthening physical robustness. To our knowledge, this is the first study to investigate adversarial patch attacks for cargo-occupancy estimation in physically realistic, fully simulated 3D scenes.

This paper presents a novel approach to avoiding jackknifing and mutual collisions in Heavy Articulated Vehicles (HAVs) by leveraging decentralized swarm intelligence. In contrast to typical swarm robotics research, our robots are elongated and exhibit complex kinematics, introducing unique challenges. Despite its relevance to real-world applications such as logistics automation, remote mining, airport baggage transport, and agricultural operations, this problem has not been addressed in the existing literature. To tackle this new class of swarm robotics problems, we propose a purely reaction-based, decentralized swarm intelligence strategy tailored to automate elongated, articulated vehicles. The method presented in this paper prioritizes jackknifing avoidance and establishes a foundation for mutual collision avoidance. We validate our approach through extensive simulation experiments and provide a comprehensive analysis of its performance. For the experiments with a single HAV, we observe that for 99.8% jackknifing was successfully avoided and that 86.7% and 83.4% reach their first and second goals, respectively. With two HAVs interacting, we observe 98.9%, 79.4%, and 65.1%, respectively, while 99.7% of the HAVs do not experience mutual collisions.

Why does GTA 6 keep getting delayed? When Grand Theft Auto 6 was delayed on Thursday, the famous quote from the series perfectly captured the feelings of many video game fans. It's the second time maker Rockstar Games has told players they'll have to wait even longer for what is likely to be one of the biggest entertainment releases ever. The notoriously perfectionist developer has a history of holding on to its blockbusters until it's happy with them, so the news wasn't a complete surprise. But it has got millions asking what's taking so long, and why. Rockstar Games officially confirmed it was working on GTA 6 in February 2022 and an initial trailer, released almost 18 months later, said it would come out in 2025.

Sea lampreys--invasive, leechlike creatures that once nearly destroyed the Great Lakes' fishing economy--are kept in check by a small U.S.-Canadian program. Will it survive Trump's slash-and-burn campaign? Ally Porter walked ahead of me as we sidestepped down a steep, loamy embankment. Our path lit only by headlamps, a waning sliver of moon, and what seemed to be thousands of stars, we made our way to a mucky riverbank about twenty feet below. At one point, I lost my footing and ended up wedged against a tree trunk. Porter, who had two tight braids that landed just below her shoulders, kept going. She moved with ease through several inches of sludge, toward a yellow glow stick tied to a tree at the water's edge.

Accurate counting of vehicle axles is essential for traffic control, toll collection, and infrastructure development. We present an end-to-end, video-based pipeline for axle counting that tackles limitations of previous works in dense environments. Our system leverages a combination of YOLO-OBB to detect and categorize vehicles, and YOLO to detect tires. Detected tires are intelligently associated to their respective parent vehicles, enabling accurate axle prediction even in complex scenarios. However, there are a few challenges in detection when it comes to scenarios with longer and occluded vehicles. We mitigate vehicular occlusions and partial detections for longer vehicles by proposing a novel TRAX (Tire and Axle Tracking) Algorithm to successfully track axle-related features between frames. Our method stands out by significantly reducing false positives and improving the accuracy of axle-counting for long vehicles, demonstrating strong robustness in real-world traffic videos. This work represents a significant step toward scalable, AI-driven axle counting systems, paving the way for machine vision to replace legacy roadside infrastructure.

Nintendo made a slew of announcements during its latest Direct event, including details on a new Resident Evil game, a Ditto-centric Pokémon title, and more details on . Nintendo's Switch and Switch 2 release calendars are bulking up. During a packed Nintendo Direct livestream on Friday, the company announced on-sale dates for several games as well as the return of the Virtual Boy, the proto VR headset Nintendo originally launched in the mid-1990s. One of the biggest of Friday's announcements was that of the release date for the sequel to Supergiant's wildly popular . The long-awaited new game,, will also finally launch December 4 for Switch and Switch 2. The news comes ahead of the upcoming holiday season, which will be the Switch 2's first since its launch this summer.

Xincheng Cao, Haochong Chen, Bilin Aksun-Guvenc, Levent Guvenc Automated Driving Lab, Ohio State University Brian Link, Peter J Richmond, Dokyung Yim, S hihong Fan, John Harber HATCI Abstract Reverse parking maneuvers of a vehicle with trailer system is a challenging task to complete for human drivers due to the unstable nature of the system and unintuitive controls required to orientate the trailer properly. This paper hence proposes an optimization-based automation routine to handle the path-planning and path-tracking control process of such type of maneuvers. The proposed approach utilizes nonlinear model predictive control (NMPC) to robustly guide the vehicle-trailer system into the desired parking space, and an optional forward repositioning maneuver can be added as an additional stage of the parking process to obtain better system configurations, before backward motion can be attempted again to get a good final pose . The novelty of the proposed approach is the simplicity of its formulation, as the path -planning and path-tracking operations are only conducted on the trailer being viewed as a standalone vehicle, before the control inputs are propagated to the tractor vehicle via inverse kinematic relationships also derived in this paper. Simulation case studies and hardware-in -the -loop tests are performed, and the results demonstrate the efficacy of the proposed approach. In troduction The development of connected and autonomous or automated vehicles has seen much progress in recent years [1-9] . One of the most important functions of such vehicles is to plan and track their own paths [10], [ 11].

If you are in Cologne this week, you will find the place overtaken by cheerful nerds, as Gamescom, the world's biggest gaming event, descends upon the city once again. Over 300,000 people are expected to visit the Koelnmesse to play upcoming games and enjoy each other's company, to the extent that it's possible to enjoy anyone's company in a giant crowded convention hall with woefully insufficient food options. The event began, as is now tradition, with a showcase of games (pdf) whose publishers could afford the hundreds of thousands of euros necessary to show a trailer on an official livestream. As ever, I am here to spare you from watching a full two hours of trailers and pick out the most interesting stuff. Call of Duty: Black Ops 7 was the big opener: our reporter Alyssa Mercante got a full introduction to its futuristic military paranoia, which you can read about later this week.

--Autonomous trucking offers significant benefits, such as improved safety and reduced costs, but faces unique perception challenges due to trucks' large size and dynamic trailer movements. These challenges include extensive blind spots and occlusions that hinder the truck's perception and the capabilities of other road users. T o address these limitations, cooperative perception emerges as a promising solution. However, existing datasets predominantly feature light vehicle interactions or lack multi-agent configurations for heavy-duty vehicle scenarios. T o bridge this gap, we introduce TruckV2X, the first large-scale truck-centered cooperative perception dataset featuring multi-modal sensing (LiDAR and cameras) and multi-agent cooperation (tractors, trailers, CA Vs, and RSUs). We further investigate how trucks influence collaborative perception needs, establishing performance benchmarks while suggesting research priorities for heavy vehicle perception. The dataset provides a foundation for developing cooperative perception systems with enhanced occlusion handling capabilities, and accelerates the deployment of multi-agent autonomous trucking systems. UTONOMOUS trucking is expected to benefit the logistics industry in improved road safety, reduced operational costs, and solutions to driver shortages [1].

Amazon delivery can be tough, unglamorous work. Workers must often reckon with complicated geography, demanding bosses, ever more biblical weather, and schedules that force time-conscious drivers to urinate in bottles. Surprising, then, that this is effectively the role in which one of the year's most anticipated video games casts the player. In Death Stranding 2, you arrange packages into swaying towers on your back, nudge the controller's left- and right-shoulder buttons to keep your weight balanced as you trip down rocky hills, and incur financial penalties for scuffing the merchandise if you take a tumble. The premise is a long trek from the super-soldier games, such as Call of Duty and Helldivers, that dominate the sales charts--even if you must occasionally battle the odd spectral marauder from a parallel dimension to clear the way to the next address on your delivery sheet.