How to reduce costs and increase efficiency, competitive landscape trends, and business model dismantling, this "Specific Scenario Unmanned Logistics" sharing session is full of useful information.
On July 14, 2022, the "Road to Commercialization Breakthrough of Unmanned Logistics in Multiple Scenarios" online sharing meeting hosted by Machine Heart and Shanghai Artificial Intelligence Industry Association was successfully held.
video playback: https://jmq.xet.tech/s/22iUiR
The event invited representatives of various autonomous driving experts from Feibu Technology, Mainline Technology, Bolei Technology, and Hongjing Zhijia to share information about autonomous driving. Enterprises layout the bottlenecks and pain points encountered by unmanned logistics in specific scenarios, interpret the latest technology hot spots, application challenges and relevant policies and regulations in the industry, and jointly explore ways to break the commercialization of unmanned logistics in multiple scenarios.
The event kicked off, Zhang Wan, director of the Government and Enterprise Services Department of the Shanghai Artificial Intelligence Industry Association and head of the Space-Time AI Special Committee, delivered a speech for this event, introducing the Shanghai Artificial Intelligence Industry Association and Shanghai Autonomous Driving to the online audience. Main policies. Under the guidance of the Shanghai Economic and Information Technology Commission, the Shanghai Artificial Intelligence Industry Association was officially unveiled at the Third World Artificial Intelligence Conference in July 2020. It is the only non-profit social group representing the nature of Shanghai's artificial intelligence industry. In addition It also takes the lead in undertaking the specific work of local artificial intelligence standards and talent assessment in Shanghai. In order to facilitate the commercialization of autonomous driving, Shanghai has actively promoted the formulation and improvement of autonomous driving laws and regulations. This year, the "Shanghai Intelligent Connected Vehicle Testing and Application Management Measures" were officially implemented, clarifying that the next stage will be the first to open closed scene testing; Pudong New Area took the lead in launching artificial intelligence regulations, clarifying the details of autonomous driving, including multiple scenarios The implementation of the first batch of driverless applications, including unmanned logistics, provides clear instructions. Shanghai promotes the demonstration application of smart connected cars, relying on the location advantages of Jiading, Fengxian, Pudong and Lingang regions, focusing on smart logistics, smart distribution, smart operations, smart rentals and smart buses. scenarios, and accelerate the promotion of large-scale, quasi-commercial and shared applications of intelligent connected vehicles. Specific to logistics scenarios, Shanghai’s Yangshan Port unmanned terminal and port-facing unmanned logistics tests are gradually advancing.
Zhang Wan introduced that starting from next Monday (July 18), Donghai Bridge will open a lane specifically for autonomous driving testing. The association is fully cooperating with the implementation of laws and regulations. In addition, following the release of the "Shanghai Artificial Intelligence Hundred Application Scenarios Experience Manual" last year, more comprehensive displays of Shanghai's artificial intelligence ecosystem will be seen at the World Artificial Intelligence Conference in September this year. Everyone is welcome to continue to pay attention.
Zhang Wan, director of the Government and Enterprise Services Department of the Shanghai Artificial Intelligence Industry Association and head of the Space-Time AI Special Committee
Yang Zheng, co-founder and CTO of Feibu Technology shared the topic "Technical Challenges and Implementation of Unmanned Driving in Ports" "Application Practice", He sorted out the development history and current situation of domestic port intelligence, analyzed in detail the challenges faced by unmanned driving in mixed line operations, positioning and other fields, combined with Ningbo Zhoushan Port , Nantong Port and other domestic large-scale The real case of the port shares the commercial application practice of Feibu Technology. Yang Zheng believes that autonomous driving at domestic ports is entering a new stage of intelligence from automation. Compared with automation solutions, intelligent solutions have significant advantages such as low cost, low environmental dependence, strong independent planning, strong fault tolerance, and high growth potential. The development history of port intelligence around the world also clearly shows that intelligent solutions are more conducive to solving core pain points such as mixed lines and efficiency, and are more suitable for the needs of transformation and upgrading of traditional terminals. Yang Zheng predicts that digital smart port construction will usher in large-scale implementation of fully unmanned large-scale operations in 2024. For the port and shipping industry, Feibu Technology provides autonomous vehicle, road and cloud integrated smart port horizontal transportation solutions. It does not require infrastructure and process transformation of the terminal, and is suitable for container trucks, flatbed trucks, and other equipment.Among them, the vehicle-side unmanned driving system supports nearly 200 kinds of port operating conditions; the road-side intelligent dispatching provides the vehicle cloud with enhanced beyond-visual-range perception information, effectively solving problems such as "unnecessary waiting and unreasonable detours"; the cloud-side intelligent dispatching platform Through full-link management of equipment and fleets, global optimal resource allocation and path planning can be achieved. The vehicle-road-cloud integrated collaborative operation platform aims at the goal of "cost reduction and efficiency improvement" and supports smart ports to accelerate into a new stage of "fully unmanned driving, full scene awareness, and full link dispatching".
Yang Zheng, co-founder and CTO of Feibu Technology
Wang Chao, partner of Beijing Mainline Technology Co., Ltd. and dean of Foresight Institute , shared the theme "The commercialization of is getting better, smart trucks build a networked artificial intelligence transportation system " , he analyzed the challenges of autonomous truck driving and explained the "technology + products + operations" industrial ecology of Mainline Technology. The truck itself has heavy challenges. In response to the four major problems of the truck's large blind area, long braking distance, strong vibration interference, and difficulty in control, Mainline Technology has implemented multi-view sensor fusion to cover the blind area, and robust multi-sensor pose estimation. Algorithm, ultra-long-distance high-definition sensing algorithm and model adaptive planning control technology and other research and development work, L4 level autonomous driving solution specially designed for truck research and development - artificial intelligence virtual driver AiTrucker. This solution combines a car-grade hardware system and a vehicle-mounted software algorithm system, and includes two different solution forms - FL4 (Full L4 Autonomous Driving) and CL4 (Collaborative L4 Autonomous Driving). In its current state, releases the CL4 system to accumulate more scene data on open roads, and drives the FL4 system to upgrade its fully autonomous driving capabilities through data empowerment; at the same time, it releases the FL4 system to carry out mature commercial operations in closed port park scenarios. Through technological empowerment, we can meet the mass production and commercial operation of CL4 systems in open scenarios. Let AiTrucker run, let the technology form a cycle and iterate, and realize the system's more efficient self-evolution . At this stage, Mainline Technology is using self-driving trucks as its engine and is deeply involved in the two major scenarios of port logistics hubs and high-speed trunk logistics. In the future, it will promote the construction of the networked artificial intelligence transportation system NATS to truly empower large-scale logistics and transportation with artificial intelligence technology. , transforming the logistics and transportation industry to reduce costs and increase efficiency.
Wang Chao, partner of Beijing Mainline Technology Co., Ltd. and dean of the Institute of Foresight
Zhao Xinhuan, director of autonomous driving product solutions at Bolei Technology shared the topic "The popularization of autonomous driving and new energy mining trucks accelerates the process of intelligent electrification in open-pit mines. 》, He introduced the pain points, market and policies of the open-pit mining production industry, demonstrated the current application status with products and cases, and focused on sharing the latest "5G zero-carbon smart open-pit mine". The main problem currently faced by the mining industry is how to improve efficiency, significantly reduce safety accident risks and rising labor costs on the basis of ensuring production capacity, and save energy and reduce emissions in production to achieve national carbon neutral carbon peak target. When autonomous driving technology is implemented, it also faces the harsh operating environment of open-air mines, autonomous driving sensors are greatly affected by dust and other operating environments, the large size of mine cars has blind spots in the perception field, non- paved roads cause violent bumps in the vehicle body, and the sensor capabilities are limited. Specific problems include limited traffic conditions, complex road conditions and changing loading and unloading points. BoLei Technology combines unmanned driving technology with new energy mine trucks. uses single-vehicle automatic driving technology, remote control technology based on 5G communication and cloud scheduling algorithms to realize green unmanned intelligent mining operations in open-pit mine scenarios, and Achieve the goals of improving mining and transportation efficiency, reducing safety hazards and reducing mine carbon emissions . Among them, a remote driving and remote control mining smart cockpit is built based on the 5G network, allowing the driver to remotely control the mining trucks, excavators, etc. in a comfortable environment. It can realize a smart cockpit to track and take over 5 mining trucks, allowing remote driving Carry out transportation to the safety officer under the conditions.
Zhao Xinhuan, Director of Autonomous Driving Product Solutions at Bolei Technology,
At the end of the sharing session, Yang Zheng, Zhao Xinhuan and special guests Yang Wu, Vice President of Strategy and Business Development of Hongjing Intelligent Driving, focused on "the unmanned era, A wonderful roundtable discussion was held on the theme of "Opportunities and Challenges of Multi-Scenario Logistics", and the following opinions were formed:
Obstacles to the commercialization of autonomous driving in trunk logistics may include three levels: First, the technical level, allowing L3 level autonomous driving to be implemented , the current maturity of the entire industry chain and the support for large-scale commercial applications are still relatively weak; the second is the regulatory level, laws and regulations that can truly allow L3 or above level autonomous vehicles to be put on the road have not yet appeared; the third is the commercialization level, with technology The layers are bundled, and the technology must be fully competent to realize benefits for end users such as logistics fleets and individual drivers.
There are two main types of players in driverless trunk logistics. One is the direct path, where products start directly from L4 or L3. How to achieve sustainable development is a challenge they face when the maturity of the existing technology industry chain and laws and regulations cannot support it. The other type takes the incremental development route, and the product functions develop from fuel-saving and labor-saving to completely replacing people. The implementation of high-level autonomous driving in any scenario will ultimately require a large amount of data support. A large amount of data can be obtained at a low cost through the incremental route. It is more sustainable for enterprises to first let the vehicles run to realize some functions and benefits, and then quickly establish data barriers as the fleet gradually grows.
should form a self-driving business closed loop. Autonomous driving technology companies are currently not only focusing on technology development, but also actively integrating deeply with scene parties. Whether it is ports or trunk logistics, the scale is at least one or even two orders of magnitude smaller than that of passenger cars. Therefore, the commercial value or market space of solutions for specific scenarios is limited. So during the operation process, monetizing autonomous driving technology and creating value is the current direction of the industry's efforts.
In the port scene, "vehicle-road-cloud integration" is emphasized, because on the one hand, vehicles need to pay attention to other operating vehicles on the road, but due to the narrow road space in the port and the basically equal width of vehicles, vehicles cannot be used in order to ensure passability. To connect more sensors laterally, road information is needed to help vehicles clear blind spots; on the other hand, port vehicles and equipment are fixedly grouped, and it is necessary to integrate orders, vehicles, and equipment for global optimal allocation to achieve higher efficiency. Therefore, Requires access to cloud information.
In a mining scenario, the economics of unmanned driving depends on the number of unmanned vehicle groups. From the perspective of overall economy, the more groups there are, the better the economy of driverless driving. In terms of saved labor costs, currently as long as one group is run, the cost can be basically the same or have a slight surplus.
In addition, the guests provided a large number of industry insights and cutting-edge opinions, hoping to promote the sustainable development of unmanned logistics. More details can be learned through the live replay.
Roundtable Dialogue
Heart of the Machine will join forces with the Shanghai Artificial Intelligence Industry Association to continue to launch a series of high-quality online live broadcasts focusing on important topics in the artificial intelligence industry. Everyone is welcome to continue to pay attention.
