Longtime Slashdot reader AmiMoJo shares a report from Electrek: Waymo co-CEO Dmitri Dolgov laid out the clearest technical case yet for why cameras alone can't take a self-driving system to full autonomy, arguing that "weak sensing" hits a safety ceiling long before it reaches superhuman performance. [...] Dolgov made the comments in a talk at Y Combinator's Startup School, walking through the lessons Waymo has learned building its driver over close to two decades. He put the sensor question on the table plainly: "there's been a long-standing debate about what kind of sensors do you actually need for autonomous driving." His answer draws the line that camera-only advocates tend to skip right past. "Humans of course can drive with just eyes, so there's that proof of existence," he said. "If the goal were to just approximately match human performance or to build an assist product, that's a very reasonable way to go." Then the catch. If you're targeting full autonomy and strongly superhuman performance, he said, "you find that weak sensing just leads to a safety curve that flattens out way too early." Dolgov said that cameras, lidar, and radar are complementary rather than redundant: "These different sensing modalities, they're not backups to each other," and combining them produces a view "vastly superior to what you get with any one sensor." He said multiple sensor types also protect against physical failures, such as a leaf or branch blocking a camera, while helping Waymo climb the "exponential ladder of nines" required for fully driverless safety. Dolgov warned that camera-only systems may improve quickly before plateauing "way before the performance that is required by your product." He also pushed back on the cost argument against lidar, calling it "a number that has a fairly short shelf life" as hardware costs continue to fall.

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To design invisible drones, researchers have tried camouflage, transparent materials and light-bending optical systems. But engineers at Northwestern University used "motion blur," which an announcement from the school notes is the effect that makes fast-spinning fans seem to disappear. "The drone spins up to 25 times per second, which is too fast for the human eye to see clearly. While it isn't completely invisible, it morphs into a ghostly smudge that seamlessly blends into the background... " To design the drone, the Northwestern team first used a computational model to generate roughly 20,000 drone configurations capable of stable flight. Then, they used artificial intelligence (AI) and optimization algorithms to repeatedly rearrange the drones' major components, including a motor, propeller, circuit board, counterweight and batteries. After sifting through many different configurations, the algorithms determined the ideal placement of the drone's components to minimize its visibility from virtually every viewing angle while allowing for stable flight. After selecting promising candidates, the engineers simulated each drone spinning in flight and overlaid those images a hundred real-world backgrounds. Then, they used a perception model that approximates human vision to determine how noticeable each design appeared. Designs that blended into their surroundings received lower visibility scores. The team selected the 500 lowest-scoring designs and applied the optimization algorithm, which repeatedly adjusted the positions of components to further minimize those scores. "The design process was fully automated," [said Northwestern's associate CS professor Michael Rubenstein, who led the work]. "Then, when we were confident that a drone met all our criteria, we built it." They've named the drone "Phantom Twist"," and plan to design future iterations with more transparent materials or quieter propulsion to make it even less noticeable. The Northwestern team presented the work on July 16 at Robotics: Science and Systems 2026 in Sydney, Australia... Thanks to long-time Slashdot reader fahrbot-bot for sharing the news.

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Electric vehicles have historically been "notorious" for losing their resale value, reports CNBC. But this year prices for used EVs in the U.S. "are up 5.1% from January to June 2026, according to a Recurrent analysis published this month." The trend continued into the second half of the year: Prices are up 7% year to date through mid-July, it said. Recurrent compared EVs according to the same make and model year across 108 combinations and weighted price growth according to inventory volume. "Used EVs are appreciating, which almost never happens," according to an e-mailed Recurrent statement about the analysis. Other auto analysts found a similar trend... Price growth for used EVs has been broad-based, said Stephanie Valdez Streaty, the director of industry insights at Cox Automotive, a market research firm. Twenty-one of the 25 used EV models with the highest sales volume increased in price between January and June this year, she said... [T]he price growth for used EVs this year has been all the more surprising because it has happened despite a high supply of used EVs hitting the market — which, all else being equal, would generally cause prices to fall, experts said... There are several factors juicing consumer demand for used EVs, experts said. Among them are high gasoline prices due to the Iran war, which have pushed more consumers to consider fuel-efficient options, experts said... Overall affordability is another big factor, against a backdrop of inflation that has remained above policymakers' target of 2% for five or so years, auto experts said. The dynamic has pushed more consumers toward the used car market more broadly. Two interesting statistics from the article: "Used EV sales were up 20% in June versus a year earlier, while sales of new EVs were down about 28%, according to Cox Automotive data." New EVs accounted for 5.4% of total new-vehicle sales in June, while the market share for used EVs was just 2.4%, according to Cox Automotive data.

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An anonymous reader quotes a report from Reuters: Amazon's Zoox unit has won U.S. approval for limited commercial deployment of its novel steering-wheel-free robotaxis, a first for the autonomous ride industry, the U.S. auto safety agency said on Thursday. Zoox said that the National Highway Traffic Safety Administration's decision gives the company federal approval to begin charging for rides, and that it will soon begin charging for service, first in Las Vegas, with additional markets to follow as it completes various state requirements. [...] NHTSA Administrator Jonathan Morrison told Reuters that Zoox had received clearance to commercially deploy up to 2,500 vehicles in each of the next two years. Zoox currently carries passengers in parts of Las Vegas and San Francisco as part of testing. The exemption would allow Zoox to charge them fees, subject to state and local approvals. The agency said it determined the vehicle is as safe as an equivalent vehicle meeting federal motor vehicle safety standards that are being waived. Zoox cannot sell any of the vehicles to the public. "We can say pretty clearly that the systems in place on the Zoox exceed the equivalent performance requirements of a compliant vehicle," Morrison said in an interview. "But we still want to make sure that the automated driving system will operate appropriately." As part of the exemption, NHTSA is placing additional reporting requirements on Zoox for issues such as crashes or stopping inappropriately on roads, and the regulatory agency will adjust the conditions based on how the vehicles behave. "We have the ability to pull the exemption if we see major safety issues," Morrison said. All remote operators must be located in the United States, NHTSA said, and Zoox must publish maps of areas indicating where the vehicles are operating. Morrison said NHTSA expects to develop the first federal safety standards for automated driving systems by the end of the Trump administration. It is also proposing to overhaul some existing rules written with human drivers in mind such as requiring brake pedals and rear-view mirrors.

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Qantas completed a record-breaking 24-hour, 24-minute test flight from Melbourne to Toulouse on Tuesday. "The specially adapted A350-1000ULR airliner is due to debut with the Australian carrier's nonstop Sydney-London route from 2027," reports The Guardian. From the report: Tuesday's flight is thought to be the longest ever by a commercial plane, beating the previous record of 22 hours and 42 minutes set by a Boeing 777-200LR in 2005 between Hong Kong and London via the Pacific in 2005. Flight-tracking provider Flightradar24 said the trip was the second-most-tracked flight ever on its channels -- behind a 2022 flight carrying Queen Elizabeth II's coffin -- with more than 3.6 million people following its progress northwards via Canada. Qantas has ordered 12 modified A350-1000ULR aircraft, designed to connect Australia's east coast with London and New York in about 20 hours.

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Ford will become the first automaker to embed Apple Maps directly into its vehicles, starting with an all-electric midsize pickup built on its new Universal Electric Vehicle platform. "The pickup -- with Ford testing preproduction models on roads now -- is expected to start at $30,000 when it comes to market in 2027," reports the Detroit Free Press. "Ford has said several other EVs off that platform will follow, including a small all-electric SUV." From the report: Ford CEO Jim Farley said the new EVs will redefine advanced technology as simple, useful, and at a price point that is attainable for most people. "We're proud to embed Apple Maps' navigation and mapping technology directly into our Universal Electric Vehicle Platform, giving customers the ultimate navigation experience alongside our Ford app, a full suite of software, and next-generation BlueCruise, all enabled by a new zonal architecture," Farley said in a statement. "Apple Maps has delivered a world-class product, and we're honored to be among the first to embed it directly into a vehicle, helping define intuitive, capable driving." In a joint statement, Apple and Ford said the integration will deliver a "beautiful and easy-to-use navigation experience powered by Apple Maps directly to the vehicle's displays. Road-level Maps information will also enable Ford's Latitude AI team to build a seamless hands-free driving experience." Ford said it will use that road information to develop its next-generation BlueCruise hands-free highway driving capability. Also, by leveraging Apple's new MapKit for Automotive SDK, Ford's UEV Platform will offer drivers turn-by-turn directions using natural language, real-time traffic information, intuitive search and routing options for the best route. The system will give drivers EV routing functionality to help drivers with the warming and cooling process of the vehicle's battery before driving or fast-charging.

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"General Motors has been pulling a Tim Cook and boosting its software and subscription business," reports Business Insider. During the automaker's Tuesday earnings call, executives said they're increasingly leaning on software subscriptions like OnStar and Super Cruise to generate high-margin recurring revenue long after customers buy their vehicles. GM says OnStar brought in about $800 million in the second quarter, while Super Cruise revenue grew about 70% year over year. From the report: GM says its software business keeps roughly 70 cents of every dollar it brings in. That's a rare level of profitability in the auto industry, as many car sales generate just four to 10 cents per sales dollar. [...] GM expects to add about 1 million OnStar subscribers this year, bringing the total close to 13 million. Super Cruise, GM's hands-free, eyes-on driving system, is growing even faster. GM added about 70,000 subscribers during the quarter and expects to end the year with more than 850,000. Revenue from the service increased about 70% from a year earlier. And a lot of drivers are sticking around after the free period ends. GM said between 30% and 40% of eligible owners continue paying after their included three-year Super Cruise subscription expires. [..] "We do think we have tremendous levers, multiple levers of growth," Barra said on the call. "We definitely think there's a lot of opportunity at GM to grow, improve margins, and become less cyclical." "Software and services are becoming increasingly important to how customers experience GM vehicles and how we deliver value beyond the initial purchase," a spokesperson previously told Business Insider. "As vehicles become more software-defined, we can introduce new digital experiences through updates and optional services rather than hardware changes."

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Tesla says it is launching its Robotaxi service in Orlando and Tampa, though it has not shared fleet sizes or whether customers can immediately hail rides. The Verge notes the announcement lands on Tesla earnings day and comes as the company's robotaxi rollout remains far smaller than Elon Musk previously projected, with tracker data showing only a small number of unsupervised vehicles operating in existing cities. From the report: [B]ack in May, Tesla had five unsupervised robotaxis in Dallas, six in Houston, and 29 in Austin. As of today, there are only 17 unsupervised vehicles in Austin, four in Dallas, and zero in Houston, according to the Robotaxi Tracker. By comparison, Waymo is estimated to have over 3,500 fully driverless vehicles in operation across over 10 cities. Like Waymo, Tesla typically introduces robotaxis to a new city with a safety driver behind the wheel. Unlike Waymo, sometimes Tesla moves that person over to the passenger seat with access to a kill switch should anything go wrong. The company has been inconsistent in how it rolls out its robotaxis to new markets. The numbers go up and down, with zero explanation from the company as to why. [...] By adding new cities, Tesla is clearly trying to sell investors on the idea that its robotaxi project is growing. But the fluctuating fleet size, inconsistency in supervised vs unsupervised vehicles, and long wait times tell a very different story.

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"If tired or wasted passengers fall asleep in a traditional taxi or rideshare, the driver can shout or shake them awake," reports Bloomberg. "Not so in a robotaxi..." Ditto Kasendar remembers soft music drifting from the robotaxi's speakers as he rode home late at night from a friend's birthday party in 2025. The next moment, Los Angeles firefighters were opening the door and asking if he was OK. His six-minute trip had ended nearly an hour before. A remote Waymo assistant, dialling in through the car's speakers, repeatedly tried to rouse him and finally called 911 when he wouldn't stir... Kasendar's robocab nap was, unfortunately, not an isolated incident. As companies like Alphabet and Tesla bring self-driving taxis to more cities, the messier aspects of serving unpredictable humans are becoming harder to ignore. Passengers are falling asleep, spilling drinks, dropping food, vomiting, experiencing medical emergencies and, in at least two instances, giving birth in the cars. They stumble out of the vehicles and forget to close the doors, forcing the operators to pay nearby gig workers to do it. These seemingly minor nuisances are becoming a drain on municipal resources and complicating the roll-out of robotaxi service. So many robotaxi customers have nodded off in the midst of a ride that Austin police and firefighters even have a name for the incidents: "sleepers". The Texas capital recorded 99 such calls in Waymo's first nine months of service there, said Roger Patterson, a commander with Austin-Travis County Emergency Medical Services... Remote assistants monitoring the cars try talking through the speakers and checking on passengers with interior cameras. But if they get no response, company protocols often require them to call 911. And first responders have to assume the worst. Austin dispatchers treat an incident as a potential heart attack if the remote assistant can't tell whether the passenger is breathing, Patterson said. In the end, only about 3% of such calls require transporting the passenger to a hospital, he said. But the incidents tie up personnel who might be needed elsewhere.

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