Featuring interviews with Kiyoshi Kurosawa (Pulse), Takashi Shimizu (The Grudge), and many more, the documentary is now streaming on Shudder.

Parking at crowded train stations in India can be a daunting task. With limited space and high demand, finding a spot requires strategy and patience. This guide offers practical tips for automobile enthusiasts to navigate these challenges effectively. Understanding the dynamics

Jay is only one of the most charming handsome men alive. Great working with your team Jay!!! This is all part of the large commercial shoot I am doing for a local Parking Vender. These guys are a great team of wonderful people.

PurpleParking Discount Airport Car Parking

The Council voted through the changes unanimously.

Council leader Liam Robinson says that "detailed work" is underway to mitigate the budget deficit.

Councillor Ruth Houghton says the kerosene in the drains is "still flowing" after 10 days.

The plans to bring in charges led to protests in some areas and outside council meetings.

Drivers can currently park for free for an hour, but might need to register on an app in the future.

Club members are not exactly bowled over when a Smart car driver blocks them in their car park.

Weymouth Town Council says it has made 23 December a free parking day to help last-minute shoppers.

1. Niagara Health offering free parking after delays reported  News Talk 610 CKTB
2. Implementation of new Niagara Health patient info system resulting in long wait times  St. Catharines Standard
3. Temporary delays impacting registration at emergency departments  Thorold News
4. Niagara Health Working Through Delays  101.1 More FM
5. Niagara Health experiencing temporary delays impacting registration and EDs  Niagara Health

Aim/Purpose: Accurate detection of vacant parking spaces is crucial for autonomous parking. Deep learning, particularly Graph Neural Networks (GNNs), holds promise for addressing the challenges of diverse parking lot appearances and complex visual environments. Our GNN-based approach leverages the spatial layout of detected marking points in around-view images to learn robust feature representations that are resilient to occlusions and lighting variations. We demonstrate significant accuracy improvements on benchmark datasets compared to existing methods, showcasing the effectiveness of our GNN-based solution. Further research is needed to explore the scalability and generalizability of this approach in real-world scenarios and to consider the potential ethical implications of autonomous parking technologies. Background: GNNs offer a number of advantages over traditional parking spot detection methods. Unlike methods that treat objects as discrete entities, GNNs may leverage the inherent connections among parking markers (lines, dots) inside an image. This ability to exploit spatial connections leads to more accurate parking space detection, even in challenging scenarios with shifting illumination. Real-time applications are another area where GNNs exhibit promise, which is critical for autonomous vehicles. Their ability to intuitively understand linkages across marking sites may further simplify the process compared to traditional deep-learning approaches that need complex feature development. Furthermore, the proposed GNN model streamlines parking space recognition by potentially combining slot inference and marking point recognition in a single step. All things considered, GNNs present a viable method for obtaining stronger and more precise parking slot recognition, opening the door for autonomous car self-parking technology developments. Methodology: The proposed research introduces a novel, end-to-end trainable method for parking slot detection using bird’s-eye images and GNNs. The approach involves a two-stage process. First, a marking-point detector network is employed to identify potential parking markers, extracting features such as confidence scores and positions. After refining these detections, a marking-point encoder network extracts and embeds location and appearance information. The enhanced data is then loaded into a fully linked network, with each node representing a marker. An attentional GNN is then utilized to leverage the spatial relationships between neighbors, allowing for selective information aggregation and capturing intricate interactions. Finally, a dedicated entrance line discriminator network, trained on GNN outputs, classifies pairs of markers as potential entry lines based on learned node attributes. This multi-stage approach, evaluated on benchmark datasets, aims to achieve robust and accurate parking slot detection even in diverse and challenging environments. Contribution: The present study makes a significant contribution to the parking slot detection domain by introducing an attentional GNN-based approach that capitalizes on the spatial relationships between marking points for enhanced robustness. Additionally, the paper offers a fully trainable end-to-end model that eliminates the need for manual post-processing, thereby streamlining the process. Furthermore, the study reduces training costs by dispensing with the need for detailed annotations of marking point properties, thereby making it more accessible and cost-effective. Findings: The goal of this research is to present a unique approach to parking space recognition using GNNs and bird’s-eye photos. The study’s findings demonstrated significant improvements over earlier algorithms, with accuracy on par with the state-of-the-art DMPR-PS method. Moreover, the suggested method provides a fully trainable solution with less reliance on manually specified rules and more economical training needs. One crucial component of this approach is the GNN’s performance. By making use of the spatial correlations between marking locations, the GNN delivers greater accuracy and recall than a completely linked baseline. The GNN successfully learns discriminative features by separating paired marking points (creating parking spots) from unpaired ones, according to further analysis using cosine similarity. There are restrictions, though, especially where there are unclear markings. Successful parking slot identification in various circumstances proves the recommended method’s usefulness, with occasional failures in poor visibility conditions. Future work addresses these limitations and explores adapting the model to different image formats (e.g., side-view) and scenarios without relying on prior entry line information. An ablation study is conducted to investigate the impact of different backbone architectures on image feature extraction. The results reveal that VGG16 is optimal for balancing accuracy and real-time processing requirements. Recommendations for Practitioners: Developers of parking systems are encouraged to incorporate GNN-based techniques into their autonomous parking systems, as these methods exhibit enhanced accuracy and robustness when handling a wide range of parking scenarios. Furthermore, attention mechanisms within deep learning models can provide significant advantages for tasks that involve spatial relationships and contextual information in other vision-based applications. Recommendation for Researchers: Further research is necessary to assess the effectiveness of GNN-based methods in real-world situations. To obtain accurate results, it is important to employ large-scale datasets that include diverse lighting conditions, parking layouts, and vehicle types. Incorporating semantic information such as parking signs and lane markings into GNN models can enhance their ability to interpret and understand context. Moreover, it is crucial to address ethical concerns, including privacy, potential biases, and responsible deployment, in the development of autonomous parking technologies. Impact on Society: Optimized utilization of parking spaces can help cities manage parking resources efficiently, thereby reducing traffic congestion and fuel consumption. Automating parking processes can also enhance accessibility and provide safer and more convenient parking experiences, especially for individuals with disabilities. The development of dependable parking capabilities for autonomous vehicles can also contribute to smoother traffic flow, potentially reducing accidents and positively impacting society. Future Research: Developing and optimizing graph neural network-based models for real-time deployment in autonomous vehicles with limited resources is a critical objective. Investigating the integration of GNNs with other deep learning techniques for multi-modal parking slot detection, radar, and other sensors is essential for enhancing the understanding of the environment. Lastly, it is crucial to develop explainable AI methods to elucidate the decision-making processes of GNN models in parking slot detection, ensuring fairness, transparency, and responsible utilization of this technology.

TomTom Teams Up with ParkWhiz to Power Parking Solutions in North America

The woman said a group of young men insulted her appearance, gloated about Trump's victory, and prevented her from driving away.

The post Woburn woman surrounded and harassed in McDonald’s parking lot by Trump supporters, she tells police appeared first on Boston.com.

This line of non-sparking, non-magnetic hand tools is manufactured from special aluminum-bronze or copper-beryllium alloys that meet ATEX regulations for safe use in areas where hazardous, flammable or combustible vapors, liquids, dusts, or residues may be present.

Retail workers experienced a combined injury and illness rate higher than the construction industry in 2016. Experts say top-down commitment is needed to prevent a work environment that values inventory over safety.

Many employees begin and end their workday in parking lots, but they may overlook the potential dangers of the area.

San Diego — Several safety-related issues earned a spot on the American Transportation Research Institute’s recently released list of top trucking industry concerns.

Parking lots can be a safety risk for workers, especially with the sun setting earlier during the winter months.

Nashville, TN — A lack of safe places for truck drivers to stop and rest continues to trouble the transportation industry, with the issue coming in near the top of the American Transportation Research Institute’s annual list of top trucking industry concerns.

AB 863 will replace the current carpet recycling program, which has consistently met state goals, with a complicated new program that is both untested, unproven, and more costly, said The Carpet and Rug Institute (CRI), which opposes the measure. See previous coverage here. 

Do you have any unwanted household products, such as paints, cleansers, solvents, antifreeze, batteries or used motor oils; or electronics like computer equipment, old radios, mobile phones, TVs, VCRs, calculators or copiers? Dispose of them properly, free of charge, on May 7th from 9 a.m. to 3 p.m.

Whether new or retrofit construction, parking structures and shipping and loading bays are often crucial to the viability and efficient use of residential, commercial, industrial and multi-use developments. 

Time savings, cleanliness and ease of installation — there were many advantages to CRW Mechanical’s use of Viega MegaPressG recently on a large project in Virginia.

Will city leadership take action to ease parking mandates and help bring small businesses back to south and central Haltom City?

US Representative calls for parking reforms in American cities.

Rapid Response for inclement winter weather

Parkopedia's latest 2023 Global Driver Survey explores the current parking and EV charging struggles connected car drivers face, as well as the in-car features they value most and those they would like to have in the future.

Driver convenience should not be prioritized over everything else, especially when it comes to inner-city schools.

Investors are unable to get approval to develop older properties when off-street parking doesn't meet current codes.

Forcing businesses to add parking just to meet an obsolete code costs the city money and slows efforts to fill vacant commercial spaces.

Despite all the promises from major hotel companies to disclose "Resort Fees" upfront – the "Junk Fee Equalizer" was hit with another "surprise" at checkout.

In Haltom City, similar legislative action would help reoccupy older vacant buildings.

Local business alliance continues to urge Haltom City Council to eliminate parking minimums.

Local business alliance urges Haltom City to follow suit.

Can there be too much parking in a city? According to advocates in Haltom City, the answer is an emphatic YES.

City leaders in Sandpoint, Idaho recognized the negative effects of parking mandates and decided to act.

Easier and safer parking solutions to mitigate all your apprehensions regarding parking issues.

The New Jersey Superior Court’s Appellate Division overturned a grant of summary judgment dismissing a hospital worker’s suit for damages from a fall in a parking garage. Case: Barrett v. Hackensack…

The Massachusetts Appeals Court upheld the summary dismissal of a worker’s civil suit against his employer and a colleague who had accidentally struck him with a truck while he was…

The North Carolina Court of Appeals ruled that a worker could proceed with a civil suit against her employer stemming from an attack by a co-worker and multiple members of…

Extended Parking Lane Closures & Traffic Shifts at W. Lawrence Avenue between N. Broadway and N. Winthrop Avenue for Street Reconstruction & Final Asphalt.

Updated Dates & Impacts with Extended Parking Lane Closures & Traffic Shifts at W. Foster Avenue between N. Broadway and N. Winthrop Avenue for Street Reconstruction & Shoring Tower Construction & Staging.

There will be a partial sidewalk closure and parking lane closure on N Broadway near W Bryn Mawr to allow crews to install new decorative sidewalk pavers as part of streetscape improvements in the project area.

Extended Parking Lane Closure, W. Ainslie Street between N. Broadway and the CTA Tracks for Track Structure Segment Delivery.

Daily Sidewalk and Parking Lane Closures at N. Clark Street between W. Roscoe Street and approx. 250ft south for substation wall construction.

Update Dates and Impacts with Parking Lane and Partial Sidewalk Closure at 5600 – 5605 N. Broadway

New Dates, Daily Sidewalk and Parking Lane Closures at N. Clark Street between W. Roscoe Street and approx. 250ft south for Substation Wall Construction.