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Xizang clears stranded trucks and tourists after Gyirong Port mudslide

Significant advancements have been achieved in the diversion and transportation of personnel and goods stranded due to the mudslide disaster at Gyirong Port, Xizang autonomous region, Xizang Daily reported. As of Monday, efforts have diverted 158 trucks carrying general merchandise and engineering materials, six trucks with agricultural products, 341 new energy vehicles, and 31 Nepalese box trucks to Rizi Port in Shigatse. All foreign tourists have exited the area, and 576 Nepalese border residents who were stranded at Gyirong have been processed through Zhangmu Port, it said. In the immediate aftermath of the disaster, the head of the region's department of commerce quickly arrived at Gyirong Port to oversee the implementation of an emergency response plan. This initiative includes a dynamic daily scheduling mechanism to ensure the safe, orderly, and efficient exit of stranded personnel and goods.

Driver busted with $3.8M worth of cocaine in 'empty' trailer

Traffic stop leads to cocaine bust A truck driver who claimed to be pulling an empty trailer from Memphis, Tennessee, to Indianapolis was found by Indiana police to be hauling more than the sailboat fuel he claimed. Kodiak says its long-haul driverless launch will happen this year Autonomous trucking system developer Kodiak AI reaffirmed Tuesday that it remains on track to launch driverless long-haul commercial service by the end of 2026. We expect to complete the safety case before year’s end and launch driverless long-haul service." "The confidence to remove the driver is something a program builds, and we have built ours deliberately," said Frank Fratrik, Director of Safety, Kodiak. “I told him I was going to turn my dog loose if he didn’t stop,” Rahn said.

Lyft offers autonomous Waymo cars for app users in Nashville

Travelers using the ride-hailing app Lyft can now choose to call a fully autonomous Waymo vehicle for their trips within the city of Nashville, with broader availability set to grow in the weeks ahead, Lyft said today. The move marks the first market where Waymo vehicles are available across both the Waymo and Lyft apps. The driverless cars are supported by a Lyft subsidiary called Flexdrive, which provides fleet management services for Waymo in Nashville, as well as for Lyft drivers nationwide. According to San Francisco-based Lyft, riders can always decline an autonomous ride or opt out of them entirely. Even as the company increases its use of autonomous vehicles, it says it is planning for a “human-centered autonomous future,” saying it continues to see autonomous vehicles as a supporting layer to the existing community of drivers.

Meet Panda, IDF’s driverless D9 bulldozer built to take the first fire instead of soldiers

Panda is not a new bulldozer but a robotics and autonomy package installed on the familiar D9 platform. The technology can also be integrated into other ground vehicles, including wheeled robotic platforms used for reconnaissance and armed missions. A tablet, a game controller and full autonomy Panda was designed to make operation as intuitive as possible for troops in the field. According to IAI, the Panda shown during the demonstration was being operated from thousands of kilometers away. Today, remotely operated platforms generally rely on a one-to-one relationship between vehicle and operator.

Two Autonomous Trucking Milestones, Two Very Different Metrics

Kodiak AI’s safety case supporting its planned driverless long-haul service is 93% complete, with it on track to launch commercially by the end of 2026. A safety case is a structured argument, backed by evidence, that an autonomous system can operate safely inside a defined operating environment. That distinction is the part fleets should read closely, because Kodiak is already running driverless trucks. A second autonomous trucking milestone landed recently, from a different market and on a different metric. Inceptio Technology, based in Shanghai, said it has passed more than 620 million miles of commercial autonomous driving mileage.

Tesla Wants a Self-Driving Semi. Are Cameras Enough?

Elon Musk has talked about an autonomous Tesla Semi almost as long as he has talked about the electric truck itself. Ad Loading... Now that Tesla is finally ramping up Semi production, that idea is moving closer to reality. In July, Musk said Tesla expects to have a self-driving Semi by late this year or early 2027. Ad Loading... What Cybercab Could Tell Us About Tesla Semi Tesla just put its self-driving Cybercab into commercial robotaxi service in Austin. When Will We See a Self-Driving Tesla Semi?

Autonomous Trucking in 28 States: What Changes Next?

Autonomous trucks are already operating in 28 states—and that changes how freight leaders should think about the market right now. #AutonomousTrucking #FreightTech #Logistics Autonomous trucking is already operating across 28 states, but the freight economy has yet to feel its full weight. — Sean Wu, CEO, uShip Wu noted that autonomy’s efficiency gains depend heavily on standardization and repeatability — conditions that don’t apply to uShip’s core business. The 22-year-old marketplace specializes in non-standard, large and bulky freight: household goods, heavy equipment, boats, antiques, and cars. uShip CEO Sean Wu predicts autonomous trucking will trigger broad logistics consolidation, comparing the likely industry shake-out to accounting’s collapse from a Big 8 to Big 4 firms.

Can DOT ‘unleash’ autonomous vehicles safely?

The U.S. Department of Transportation’s National Strategy for Automated Vehicles will attempt to strike the difficult balance of prioritizing safety while “unleashing” the technology on America’s roadways. Transportation Secretary Sean Duffy unveiled the new national strategy on Thursday, Sept. 4. The plan aims to reduce red tape, modernize critical regulations and enable the safe deployment of autonomous vehicles. “It outlines specific actions that DOT will take over the next few years, while laying the groundwork for the longer-term future.” The Federal Motor Carrier Safety Administration is in the process of modernizing regulations for commercial motor vehicles that use automated driving systems.

DOT maps path for wider deployment of autonomous vehicles

The Federal Motor Carrier Safety Administration must revamp operational safety regulations and resolve questions about automated surface transportation of hazardous materials to support wider use of autonomous trucks, according to new government guidance. The report outlined DOT actions to eliminate red tape, update key regulations and ensure safety while promoting greater use of AVs. Hazardous materials Introducing greater transportation automation raises issues for DOT involving the surface transportation system and movement of hazardous materials. Consequently, the Pipeline and Hazardous Materials Safety Administration has published a proposed rulemaking asking for stakeholder comments about possible changes to the Hazardous Materials Regulations to facilitate the safe transportation of hazardous materials using highly automated transportation systems. However, DOT noted: • AVs “do not and will not” rely on available third-party information or smart infrastructure for safety-critical activities.

PlusAI plans merger with Texas Ventures Acquisition

Dive Brief: PlusAI and Texas Ventures Acquisition III Corp. have entered into a definitive agreement to combine operations to become a publicly traded company, according to a Sept. 3 announcement. Regarding the autonomous trucking industry overall, TD Cowen said “AV Trucking is a sizable and compelling AV vertical due to narrower ODD and business model considerations.” However, TD Cowen cautioned the autonomous trucking segment was still in the early stages and faced significant execution risks. PlusAI hascontinued to advance its plans toward commercialization even following an unsuccessful attempt to go public earlier this year. This is what led PlusAI to Texas Ventures III, Liu said.

Einride buys Swedish haulier in push deeper into transport operations

Key takeaways - Einride completed the acquisition of Ytterhälla Transport AB and its associated property company on 1 September 2026. - Ytterhälla Transport generated SEK 63.55 million in revenue in its latest financial year. - The acquisition gives Einride an established road transport business as well as the property containing its offices and vehicle parking. Einride agreed to buy the two-company Ytterhälla business on 28 July through its wholly owned subsidiary Einride MidCo AB, according to a Form 6-K filed with the US Securities and Exchange Commission on 4 September. The transaction closed on 1 September. Einride paid SEK 17.069 million, approximately $1.79 million, at completion, with half paid in cash and the other half in Einride ordinary shares. The sellers may receive a further SEK 10 million over the next three years if specified milestones are met. The acquisition covers both Ytterhälla Transport AB, which operates the haulage business, and Ytterhälla Fastighets AB, owner of the property where the carrier maintains its offices and parking area for trucks and other vehicles. That makes the deal considerably more than the purchase of a small transport contract or a handful of vehicles. Einride is taking control of an established operating carrier, its workforce and a permanent transport base. A growing regional haulier rather than a distressed acquisition Ytterhälla Transport was established in 1991 and is based in Västerås, around 100 kilometres west of Stockholm. Public company records show that the business employed 36 people in its financial year ending August 2025, up from 28 a year earlier. Revenue increased from SEK 52.05 million to SEK 63.55 million, while EBIT rose from SEK 4.54 million to SEK 5.63 million. Its reported operating margin was 8.9%. The figures suggest Einride is acquiring a growing and profitable haulage operation rather than taking over a

Inceptio Technology Surpasses 1 Billion Kilometers in Commercial <b>Autonomous</b> Trucking ...

Inceptio Technology Surpasses 1 Billion Kilometers in Commercial Autonomous Trucking, Accelerating the Development of Freight Physical AI SHANGHAI, Sept. 8, 2026 /PRNewswire/ -- Inceptio Technology ("Inceptio" or the "Company"), an industry-leading developer of autonomous driving technologies for trucks, today announced that its autonomous driving systems have surpassed 1 billion kilometers of commercial autonomous driving mileage, marking a major milestone in the Company's large-scale deployment of autonomous trucking and the development of its real-world data assets. The 1-billion-kilometer milestone represents not only the scale of Inceptio's commercial deployment, but also the depth and diversity of real-world data generated through daily operations. This operational experience is enabling Inceptio to advance from autonomous driving platform toward Freight Physical AI — a new generation of intelligent systems designed specifically for the physical realities, operating conditions, and logistics requirements of commercial trucking. Scaling Commercial Autonomous Trucking Inceptio's autonomous driving system now covers approximately 97% of China's highway network. The Company serves a broad range of logistics applications, including express delivery, less-than-truckload transportation, cold chain, general cargo, and liquid food transportation. Inceptio currently holds more than 90% market share in China's autonomous trucking market, demonstrating the growing adoption of autonomous driving as a commercially viable freight solution. In 2026, several leading express delivery companies began making autonomous driving a standard configuration in their heavy-duty truck procurement, reflecting growing recognition of the operational value it delivers. In real-world operations, Inceptio-powered trucks have demonstrated benefits across safety, driver workload, labor efficiency, and fuel or energy consumption. With more than 1 billion kilometers of commercial autonomous driving mileage accumulated, Inceptio has built one of the industry's largest real-world operational datasets for heavy-duty trucking. Each kilometer strengthens the Company's ability to identify, reproduce, validate, and resolve increasingly complex scenarios encountered in commercial freight operations. From Autonomous Driving to Freight Physical

AD Ports set to delist after L'imad unit acquires 100% stake | AGBI

ADQ, a unit of Abu Dhabi wealth fund L’imad, has met the terms of a cash offer to acquire up to 100 percent of AD Ports Group, the maritime infrastructure operator said. The AD Ports board last month recommended shareholders accept ADQ’s offer of AED6.25 ($1.70) per share. The price represents a 23 percent premium to the August 14 close. “Except for the customary notifications required to be submitted to the Capital Market Authority and the Abu Dhabi Securities Exchange (ADX), all other conditions of the offer have been satisfied,” AD Ports said in a statement. The share transfer will take place before October 9. AD Ports appointed HSBC on August 21 to carry out a financial analysis of the offer, three days after receiving it. The company listed its shares on the ADX on February 7, 2022, at AED3.2 apiece. Its stock closed at AED6.04 on August 26, up nearly 27 percent so far this year. According to AGBI calculations, ADQ will pay an estimated AED7.8 billion to acquire the remaining stake. L’imad’s ports and logistics platform includes assets such as Etihad Rail Company and Aramex. Abu Dhabi National Energy Company (Taqa) was delisted from the emirate’s bourse as of September 1 after Abu Dhabi Power Corporation, a subsidiary of L’imad, acquired a 100 percent stake in Taqa last month. Further reading: Register now: It’s easy and free AGBI registered members can access even more of our unique analysis and perspective on business and economics in the Middle East. Why sign uP Already registered? Sign in

RideFlux, Tata Daewoo Partner on L2+ <b>Autonomous</b> Driving

Autonomous driving AI company RideFlux has signed a memorandum of understanding (MOU) with commercial vehicle maker Tata Daewoo Mobility to cooperate on Level 2+ (L2+) driver assistance systems for commercial vehicles and Level 4 (L4) autonomous driving. Under the agreement, RideFlux’s software for five key highway driving functions will be installed on Tata Daewoo Mobility’s XEN and KUXEN heavy-duty truck platforms, with the companies pursuing mass production of L2+ driver assistance systems. Tata Daewoo Mobility will provide the vehicle platforms and vehicle control interfaces, while RideFlux will lead advance development of Driver Control Assistance System (DCAS) software compliant with the UN R171 international standard. The L2+ driver assistance system integrates longitudinal and lateral vehicle control for functions including lane keeping, lane changing, highway junctions and merging, overtaking and tollgate passage. RideFlux expects to establish a data feedback loop that uses real-world driving data collected from vehicles after mass production to simultaneously improve L2+ performance and validate L4 technology. The companies have also outlined a roadmap for fully driverless L4 commercialization. Building on what RideFlux said is Korea’s first paid freight transportation service using heavy-duty autonomous trucks, the company plans to develop robotruck conversions before moving to mass production of fully driverless L4 trucks. The partnership also includes plans to establish a foothold in the global commercial vehicle market by linking the technology with the software-defined vehicle (SDV) architecture of Tata Motors, Tata Daewoo Mobility’s parent company and the largest commercial vehicle maker in India. RideFlux said that following Korea’s first paid autonomous-truck freight service with Hanjin in July, supplying autonomous driving software to original equipment manufacturer (OEM) Tata Daewoo Mobility gives it a new business-to-business (B2B) revenue stream. The company said the deal also signals that the autonomous driving industry is moving from government-led demonstration projects, or B2G, toward commercialization,

Isuzu Begins Full Development of Second-Generation AI <b>Truck</b> | News On Japan

TOKYO - Isuzu Motors has begun full-scale development of a second-generation "AI truck" capable of making driving decisions on its own, as Japan's largest commercial vehicle maker by domestic market share aims to introduce Level 4 autonomous driving in fiscal 2027 to help address a worsening shortage of truck drivers. Japan is projected to face a serious logistics crisis by 2030, when driver shortages could leave the country unable to transport as much as 25% of its current freight volume. The consequences could affect everyday life, with supermarkets and convenience stores unable to keep shelves fully stocked and online purchases failing to arrive on schedule. Isuzu sees autonomous driving as one way to maintain Japan's freight network as the labor shortage deepens. The company is targeting the social implementation of Level 4 autonomous driving, in which vehicles can operate without a driver under specified conditions, during fiscal 2027. Autonomous vehicles have become a major global growth market, drawing intense competition from technology companies including Google, Amazon and Nvidia. Japan is also seeking to strengthen its position through cooperation between the government and private sector. At the CES technology exhibition in Las Vegas in January, autonomous driving was among the technologies attracting attention. Nvidia introduced Alpamayo, an artificial intelligence system for autonomous driving that can assess surrounding conditions and make decisions independently. The company said the technology could significantly improve the safety of driverless vehicles. Some estimates put the global autonomous driving market at about 18 trillion yen within the next three years. Isuzu representatives were among the Japanese visitors studying the latest technology at CES as the truckmaker seeks to narrow the gap with overseas competitors. One Isuzu employee involved in the effort said the company is still learning about advanced AI technology and gathering information from specialists around the

Tonly DTE95 battery electric <b>truck</b> at Steinexpo: haulage design notes for planners

Tonly DTE95 battery electric truck at Steinexpo: haulage design notes for planners Reviewed by Tom Sullivan First reported on International Mining – News 30 Second Briefing Tonly Heavy Industries has presented its 70 t-class DTE95 battery electric wide-body dump truck at Steinexpo 2026 in the MHI basalt quarry at Homberg, Germany, signalling a push into the European quarrying and mining market. The Xi’an-based OEM is targeting quarry haulage with a fully electric platform rather than diesel–electric hybrids, positioning the DTE95 for short, repeatable cycles typical of basalt and aggregate operations. For mine planners, the key question will be matching truck duty cycles and charging infrastructure to existing pit layouts and power availability. Technical Brief - DTE95 is configured as a wide-body dump truck in the 70 t payload class. - Xi’an-based Tonly Heavy Industries is explicitly targeting European deployment as part of its globalisation strategy. - Event positioning at a leading European quarrying and mining show gives direct access to fleet decision-makers. - For similar mining operations, adoption hinges on integrating such BEVs into existing maintenance and operator training regimes. Our Take Tonly Heavy Industries’ move to show a 70 t‑class battery electric truck in Germany aligns with its recent push into ‘green’ and unmanned haulage from China, suggesting the company is now testing European quarry conditions as a proving ground for its low‑carbon wide‑body designs. The Steinexpo 2026 deployment at the MHI basalt quarry gives Tonly a live European reference site, which could be important when marketing against established OEMs in our wider Mining database that dominate diesel haulage in Europe. Taken with the framework agreement to supply 800 autonomous trucks to Xinjiang Hanxiang, the DTE95 demonstration indicates Tonly is positioning its wide‑body platform to span both autonomy and full battery electrification, which may appeal to contractors seeking a

European Truck Market Outlook 2026

First, the good news: European truck fleet operators are largely optimistic, with over 60% expecting their fleets to grow over the next three years. European Truck Market Outlook 2026 Drawing on Bain's 2026 survey of 500+ European fleet decision-makers across five countries, this webinar unpacks the forces quietly reshaping the competitive landscape. Figure 5 Implications for truck OEMs At this inflection point, there is no single lever European OEMs can pull to retain share or grow. These steps are necessary for European commercial truck manufacturers to regain loyalty and defend their market share in the years ahead. European OEMs that act now still have time to shape that outcome rather than react to it.

China-led int'l standard on audio signal sensors for <b>autonomous</b> driving released

An international standard on audio signal sensors for autonomous driving led by China was officially released recently, giving a boost to the safety of autonomous driving. The standard fills a global gap in the field of audio signal sensor interfaces for autonomous driving and will equip vehicles with standardized "ears," effectively enhancing driving safety in complex traffic scenarios. "Audio signals are a core element in a vehicle's perception of its environment. The audio sensors in an autonomous driving system function much like the ears of a human driver. They can detect audio signals, effectively giving the system 'hearing,' which greatly enhances its ability to anticipate and respond to complex environments. Therefore, establishing a scientific and unified audio interface standard is of great significance for accurately evaluating and improving the safety of autonomous driving," said Chen Chen, a senior engineer at China National Institute of Automotive Standardization. The standard explicitly relies on multiple types of audio algorithms to detect and identify all categories of acoustic signals, covering various sound sources, including sirens from special-purpose vehicles such as police cars, fire trucks, and ambulances; road environmental noise such as wind noise, rain and hail; external warning sounds such as surrounding vehicle horns, collisions and reverse parking alerts; sounds generated by the vehicle itself, such as the engine, brakes, and horn; as well as sounds related to other road users. "Before an autonomous driving system identifies priority vehicles like ambulances, fire trucks, and police cars, through visual signals, it can rely on their sirens to determine the direction and distance of the target sound source in advance, thereby responding to these vehicles. For example, when a vehicle encounters an ambulance in autonomous driving mode, it can rely on a fusion of acoustic and visual perception to give way to the ambulance," said Chen.

&quot;<b>Autonomy</b> Must Deliver the Same Efficiency Regardless of the Driver&quot; | springerprofessional.de

"Autonomy Must Deliver the Same Efficiency Regardless of the Driver" - Free Access - 07-09-2026 - Commercial Vehicles - Interview - Article Activate our intelligent search to find suitable subject content or patents. Select sections of text to find matching patents with Artificial Intelligence. powered by Select sections of text to find additional relevant content using AI-assisted search. With its AI-based world model, Inceptio Technology aims to bring fully automated SAE Level 4 trucks into series production. In an interview with ATZheavy duty, founder and CEO Julian Zheren Ma explains how the system works, what efficiency gains are possible, and which regulatory requirements are still missing. ATZheavy duty:Inceptio Technology is taking an AI-based approach to fully automated trucks (SAE L4) that relies on a "world model". How is this model structured? Ma: Our world model combines three closely interlinked functions: sensor synthesis, physics-aware dynamic simulation, and behavioral agent modeling of other road users. It generates realistic camera and lidar data, simulates the driving behavior of a heavy truck according to the laws of physics, and models the interactive reactions of other road users. These functions are integrated into a generative pipeline capable of reconstructing and expanding real-world driving scenarios, including complete lidar point clouds. The model is grounded in Inceptio’s Real-world Operation Scenario Library (ROSL), which provides statistically representative data from large-scale commercial operations. How is integration with electric mobility handled, and how do you coordinate range management? Our autonomy stack operates largely independently of the powertrain and is already in use on diesel, LNG, and electric platforms. For energy management, we have developed FEAD (Fuel Efficient Autonomous Driving). The system proactively optimizes speed, driving maneuvers, and behavior on inclines and declines. The strategy reduces energy losses and can be directly applied to electric vehicles – including range prediction, regenerative

KDK 8-K Filings - Kodiak AI, Inc. SEC 8-K

Every 8-K that Kodiak AI, Inc. (KDK) has filed with the SEC in the last 24 months is listed below, newest first, and each one links through to the document itself with the summary and the scores our analysis gives it. A 8-K covers material events a company has to report between its quarterly reports, so if you follow KDK and want that one kind of document rather than the whole filing history, this is the page to keep. The company's other filings, of every form, are on the full KDK filings page. Kodiak AI, Inc. reported Q2 2026 revenue of $3.5 million, representing 91% quarter-over-quarter growth, driven by expanded driverless deployments and its Driver-as-a-Service model. GAAP loss from operations was $43.7 million, while non-GAAP loss from operations was $37.3 million after excluding stock-based compensation. GAAP net income was $12.5 million, largely reflecting a $58.3 million gain from the change in fair value of common stock warrants, but net loss attributable to common stockholders was $37.7 million due to cumulative and deemed dividends on Series A preferred stock. Net cash used in operating activities was $34.1 million, and free cash flow was negative $38.1 million. Kodiak ended Q2 with $151.1 million in cash, cash equivalents and marketable securities and a stockholders’ deficit of $188.9 million. Operationally, Kodiak deployed seven additional driverless trucks, bringing customer-owned driverless vehicles to 35, surpassed 40,000 Cumulative Hours of Paid Driverless Operations (up 71% from Q1), and exceeded 20,000 cumulative loads delivered (about 32% sequential growth). The new Gen7 Kodiak Driver platform offers nearly 50% more compute power and about 50% longer SensorPod lifetimes, while its BreakPoint AI system can run over one million simulations per hour. Kodiak reports an Autonomy Readiness Measure of 91% as of July as it targets a long-haul driverless launch by