Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot, that level of imprecision is the difference between a successful mission and a costly failure. These machines require pinpoint accuracy to operate safely and efficiently. Addressing this critical challenge, researchers from the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland have introduced a groundbreaking new method for visual localization during CVPR 2025 Their new paper, “FG2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching,” presents a novel AI model that significantly enhances the ability of a ground-level system, like an autonomous car, to determine its exact position and orientation using only a camera and a corresponding aerial (or satellite) image. The new approach has demonstrated a remarkable 28% reduction in mean localization error compared to the previous state-of-the-art on a challenging public dataset. Key Takeaways: Superior Accuracy: The FG2 model reduces the average localization error by a significant 28% on the VIGOR cross-area test set, a challenging benchmark for this task. Human-like Intuition: Instead of relying on abstract descriptors, the model mimics human reasoning by matching fine-grained, semantically consistent features—like curbs, crosswalks, and buildings—between a ground-level photo and an aerial map. Enhanced Interpretability: The method allows researchers to “see” what the AI is “thinking” by visualizing exactly which features in the ground and aerial images are being matched, a major step forward from previous “black box” models. Weakly Supervised Learning: Remarkably, the model learns these complex and consistent feature matches without any direct labels for correspondences. It achieves this using only the final camera pose as a supervisory signal. Challenge: Seeing the World from Two Different Angles The core problem of cross-view localization is the dramatic difference in perspective between a street-level camera and an overhead satellite view. A building facade seen from the ground looks completely different from its rooftop signature in an aerial image. Existing methods have struggled with this. Some create a general “descriptor” for the entire scene, but this is an abstract approach that doesn’t mirror how humans naturally localize themselves by spotting specific landmarks. Other methods transform the ground image into a Bird’s-Eye-View (BEV) but are often limited to the ground plane, ignoring crucial vertical structures like buildings. FG2: Matching Fine-Grained Features The EPFL team’s FG2 method introduces a more intuitive and effective process. It aligns two sets of points: one generated from the ground-level image and another sampled from the aerial map. Here’s a breakdown of their innovative pipeline: Mapping to 3D: The process begins by taking the features from the ground-level image and lifting them into a 3D point cloud centered around the camera. This creates a 3D representation of the immediate environment. Smart Pooling to BEV: This is where the magic happens. Instead of simply flattening the 3D data, the model learns to intelligently select the most important features along the vertical (height) dimension for each point. It essentially asks, “For this spot on the map, is the ground-level road marking more important, or is the edge of that building’s roof the better landmark?” This selection process is crucial, as it allows the model to correctly associate features like building facades with their corresponding rooftops in the aerial view. Feature Matching and Pose Estimation: Once both the ground and aerial views are represented as 2D point planes with rich feature descriptors, the model computes the similarity between them. It then samples a sparse set of the most confident matches and uses a classic geometric algorithm called Procrustes alignment to calculate the precise 3-DoF (x, y, and yaw) pose. Unprecedented Performance and Interpretability The results speak for themselves. On the challenging VIGOR dataset, which includes images from different cities in its cross-area test, FG2 reduced the mean localization error by 28% compared to the previous best method. It also demonstrated superior generalization capabilities on the KITTI dataset, a staple in autonomous driving research. Perhaps more importantly, the FG2 model offers a new level of transparency. By visualizing the matched points, the researchers showed that the model learns semantically consistent correspondences without being explicitly told to. For example, the system correctly matches zebra crossings, road markings, and even building facades in the ground view to their corresponding locations on the aerial map. This interpretability is extremenly valuable for building trust in safety-critical autonomous systems. “A Clearer Path” for Autonomous Navigation The FG2 method represents a significant leap forward in fine-grained visual localization. By developing a model that intelligently selects and matches features in a way that mirrors human intuition, the EPFL researchers have not only shattered previous accuracy records but also made the decision-making process of the AI more interpretable. This work paves the way for more robust and reliable navigation systems for autonomous vehicles, drones, and robots, bringing us one step closer to a future where machines can confidently navigate our world, even when GPS fails them. Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter. Jean-marc MommessinJean-marc is a successful AI business executive .He leads and accelerates growth for AI powered solutions and started a computer vision company in 2006. He is a recognized speaker at AI conferences and has an MBA from Stanford.Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95%Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video ControlJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Snowflake Charts New AI Territory: Cortex AISQL & Snowflake Intelligence Poised to Reshape Data AnalyticsJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Exclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and Open Source Models

Michael Davies is head of Stix Design, the graphic design and branding arm of architecture firm Sheppard Robson. He’s worked on BBC Cardiff, UCL Marshgate and Freshfields law firm’s London HQ. Design What would your monograph be called? No, I don’t shop at High and Mighty. I am the first-born son of West African parents, and growing up, I stood out because I was very tall – I’m now 6’ 7” – and also one of the only black kids at school. This led to a strong desire to fit in. Maybe this has made me always feel really comfortable as part of the team, working shoulder-to-shoulder to create work that stands out. But, of course, this instinct to collaborate is balanced with my idiosyncrasies and expressing my own perspectives on work and life. And yes, I shop at the same places as everyone else. What recent design work made you a bit jealous? I really like the wayfinding scheme at Borough Yards by f.r.a. When I first went there, the designs really spoke to me as a body of work. The work hit every button – intuition, intrigue, interaction, story-telling. The lot. It’s how I would love to have answered the brief. f.r.a.’s wayfinding work at Borough Yards What’s an unusual place you get inspiration from? I have a few. Salts Mill at Saltaire – a former mill housing art galleries, shops, and cafe and diner – and The Pheasantry Cafe at Bushy Park, but my current favourite has to be the ground floor cafe at the V&A. The sheer scale of its beauty and ambience is always surprising. They’ll throw in a quartet every now and then, in case you might think it isn’t atmospheric enough. It’s great for people-watching, too – I bet it’s a good spot for writers. Name something that is brilliantly designed, but overlooked. It has to be a brand new pencil. The very sight of one conjures up so much potential before you’ve even made a mark. What object in your studio best sums up your taste? Perhaps not strictly an object, but I Iove the cupboard-sized meeting room in the far corner of the second floor of our Camden office. It has a huge, cantilevered window that looks out onto our green roof. In the summer it turns into a full-on meadow. It’s a great place to feel the breeze, feel connected to nature and think. The view from the second floor meeting room Leadership What feedback felt brutal at the time, but turned out to be useful? Earlier in my senior career I worked for someone who’d employed a number of us from a previous agency. The familiarity was a key factor in why I took the position. A good friend and design director there advised me to step up and assume full responsibility for all aspects of the projects I worked on – “Don’t wait for instruction from your design leader, try to come forward with solutions rather than asking what should you do.” His implication was, “Don’t be too comfortable” and try not to lean into my design leader too often. Be more proactive. This proved to be a difficult period of transition for me at the time, with lots of sleepless nights questioning my every decision. Eventually, I learned there’s a value to making mistakes as it afforded me the opportunity to grow. That outcome was career-changing. What’s an underappreciated skill that design leaders need? Make the process as enjoyable as you can. A little self-deprecation and good humour goes a long way. Don’t take yourself too seriously, and be honest with praise – say when something goes well or looks great, just as you would when it doesn’t. What keeps you up at night? I work with a smallish team in a large organisation, so occasionally, several jobs might come in from different directions, all at the same time. That can be quite stressful. There’s always that one job that’s taking too long to land, you take on others to fill the gap and then it suddenly drops – arrrgh! What trait is non-negotiable in new hires? Working alongside so many different skill-sets here at Sheppard Robson affords us the luxury of attacking problems from all sides. The key to doing this successfully is through open lines of communication. I need good communicators and great listeners. Their work will always speak for itself, but those two traits make all the difference. Complete this sentence, “I wish more clients…” …would allow us to just lead the way. I know this isn’t always easy for clients, seeing as creativity is a totally different language/science to some. However, there’s no need to fight the process. Take your time selecting the right agency, then trust us, and enjoy the journey.

Meet Martha Swope, the Legendary Broadway Photographer Who Captured Iconic Moments From Hundreds of Productions and Rehearsals She spent nearly 40 years taking theater and dance pictures, providing glimpses behind the scenes and creating images that the public couldn’t otherwise access Stephanie Rudig - Freelance Writer June 11, 2025 Photographer Martha Swope sitting on a floor covered with prints of her photos in 1987 Andrea Legge / © NYPL Martha Swope wanted to be a dancer. She moved from her home state of Texas to New York to attend the School of American Ballet, hoping to start a career in dance. Swope also happened to be an amateur photographer. So, in 1957, a fellow classmate invited her to bring her camera and document rehearsals for a little theater show he was working on. The classmate was director and choreographer Jerome Robbins, and the show was West Side Story. One of those rehearsal shots ended up in Life magazine, and Swope quickly started getting professional bookings. It’s notoriously tough to make it on Broadway, but through photography, Swope carved out a career capturing theater and dance. Over the course of nearly four decades, she photographed hundreds more rehearsals, productions and promotional studio shots. Unidentified male chorus members dancing during rehearsals for musical West Side Story in 1957 Martha Swope / © NYPL At a time when live performances were not often or easily captured, Swope’s photographs caught the animated moments and distilled the essence of a show into a single image: André De Shields clad in a jumpsuit as the title character in The Wiz, Patti LuPone with her arms raised overhead in Evita, the cast of Cats leaping in feline formations, a close-up of a forlorn Sheryl Lee Ralph in Dreamgirls and the row of dancers obscuring their faces with their headshots in A Chorus Line were all captured by Swope’s camera. She was also the house photographer for the New York City Ballet and the Martha Graham Dance Company and photographed other major dance companies such as the Ailey School. Her vision of the stage became fairly ubiquitous, with Playbill reporting that in the late 1970s, two-thirds of Broadway productions were photographed by Swope, meaning her work dominated theater and dance coverage. Carol Rosegg was early in her photography career when she heard that Swope was looking for an assistant. “I didn't frankly even know who she was,” Rosegg says. “Then the press agent who told me said, ‘Pick up any New York Times and you’ll find out.’” Swope’s background as a dancer likely equipped her to press the shutter at the exact right moment to capture movement, and to know when everyone on stage was precisely posed. She taught herself photography and early on used a Brownie camera, a simple box model made by Kodak. “She was what she described as ‘a dancer with a Brownie,’” says Barbara Stratyner, a historian of the performing arts who curated exhibitions of Swope’s work at the New York Public Library. An ensemble of dancers in rehearsal for the stage production Cats in 1982 Martha Swope / © NYPL “Dance was her first love,” Rosegg says. “She knew everything about dance. She would never use a photo of a dancer whose foot was wrong; the feet had to be perfect.” According to Rosegg, once the photo subjects knew she was shooting, “the anxiety level came down a little bit.” They knew that they’d look good in the resulting photos, and they likely trusted her intuition as a fellow dancer. Swope moved with the bearing of a dancer and often stood with her feet in ballet’s fourth position while she shot. She continued to take dance classes throughout her life, including at the prestigious Martha Graham School. Stratyner says, “As Graham got older, [Swope] was, I think, the only person who was allowed to photograph rehearsals, because Graham didn’t want rehearsals shown.” Photographic technology and the theater and dance landscapes evolved greatly over the course of Swope’s career. Rosegg points out that at the start of her own career, cameras didn’t even automatically advance the film after each shot. She explains the delicate nature of working with film, saying, “When you were shooting film, you actually had to compose, because you had 35 shots and then you had to change your film.” Swope also worked during a period of changing over from all black-and-white photos to a mixture of black-and-white and color photography. Rosegg notes that simultaneously, Swope would shoot black-and-white, and she herself would shoot color. Looking at Swope’s portfolio is also an examination of increasingly crisp photo production. Advances in photography made shooting in the dark or capturing subjects under blinding stage lights easier, and they allowed for better zooming in from afar. Martha Graham rehearses dancer Takako Asakawa and others in Heretic, a dance work choreographed by Graham, in 1986 Martha Swope / © NYPL It’s much more common nowadays to get a look behind the curtain of theater productions via social media. “The theater photographers of today need to supply so much content,” Rosegg says. “We didn’t have any of that, and getting to go backstage was kind of a big deal.” Photographers coming to document a rehearsal once might have been seen as an intrusion, but now, as Rosegg puts it, “everybody is desperate for you to come, and if you’re not there, they’re shooting it on their iPhone.” Even with exclusive behind-the-scenes access to the hottest tickets in town and the biggest stars of the day, Swope remained unpretentious. She lived and worked in a brownstone with her apartment above her studio, where the film was developed in a closet and the bathroom served as a darkroom. Rosegg recalls that a phone sat in the darkroom so they could be reached while printing, and she would be amazed at the big-name producers and theater glitterati who rang in while she was making prints in an unventilated space. From left to right: Paul Winfield, Ruby Dee, Marsha Jackson and Denzel Washington in the stage production Checkmates in 1988 Martha Swope / © NYPL Swope’s approachability extended to how she chose to preserve her work. She originally sold her body of work to Time Life, and, according to Stratyner, she was unhappy with the way the photos became relatively inaccessible. She took back the rights to her collection and donated it to the New York Public Library, where many photos can be accessed by researchers in person, and the entire array of photos is available online to the public in the Digital Collections. Searching “Martha Swope” yields over 50,000 items from more than 800 productions, featuring a huge variety of figures, from a white-suited John Travolta busting a disco move in Saturday Night Fever to Andrew Lloyd Webber with Nancy Reagan at a performance of Phantom of the Opera. Swope’s extensive career was recognized in 2004 with a special Tony Award, a Tony Honors for Excellence in Theater, which are given intermittently to notable figures in theater who operate outside of traditional awards categories. She also received a lifetime achievement award from the League of Professional Theater Women in 2007. Though she retired in 1994 and died in 2017, her work still reverberates through dance and Broadway history today. For decades, she captured the fleeting moments of theater that would otherwise never be seen by the public. And her passion was clear and straightforward. As she once told an interviewer: “I’m not interested in what’s going on on my side of the camera. I’m interested in what’s happening on the other side.” Get the latest Travel & Culture stories in your inbox.