Evaluating the performance of perception modules in autonomous driving is one of the most critical tasks in developing the complex intelligent system. While module-level unit test metrics adopted from traditional computer vision tasks are feasible to some extent, it remains far less explored to measure the impact of perceptual noise on the driving quality of autonomous vehicles in a consistent and holistic manner. In this work, we propose a principled framework that provides a coherent and systematic understanding of the impact an error in the perception module imposes on an autonomous agent's planning that actually controls the vehicle. Specifically, the planning process is formulated as expected utility maximisation, where all input signals from upstream modules jointly provide a world state description, and the planner strives for the optimal action by maximising the expected utility determined by both world states and actions. We show that, under practical conditions, the objective function can be represented as an inner product between the world state description and the utility function in a Hilbert space. This geometric interpretation enables a novel way to analyse the impact of noise in world state estimation on planning and leads to a universal metric for evaluating perception. The whole framework resembles the idea of transcendental idealism in the classical philosophical literature, which gives the name to our approach.

Traffic surveillance is an important issue in Intelligent Transportation Systems(ITS). In this paper, we propose a novel surveillance system to detect and track vehicles using ubiquitously deployed magnetic sensors. That is, multiple magnetic sensors, mounted roadside and along lane boundary lines, are used to track various vehicles. Real-time vehicle detection data are reported from magnetic sensors, collected into data center via base stations, and processed to depict vehicle trajectories including vehicle position, timestamp, speed and type. We first define a vehicle trajectory tracking problem. We then propose a graph-based data association algorithm to track each detected vehicle, and design a related online algorithm framework respectively. We finally validate the performance via both experimental simulation and real-world road test. The experimental results demonstrate that the proposed solution provides a cost-effective solution to capture the driving status of vehicles and on that basis form various traffic safety and efficiency applications.

The World Artificial Intelligence Conference, or WAIC, will open in Shanghai tomorrow. The World Artificial Intelligence Conference, or WAIC, China's top AI event, will open on Thursday, with leading business executives participating and new tech innovations and products making debut. As the first batch of restarted exhibitions and conferences in Shanghai following the lift of the city's COVID-19 lockdown in June, the three-day WAIC 2022 will see strict pandemic prevention measures in place. As a result, many events will be held online with metaverse innovations. Scientists and business executives, including Huawei's rotating chairman Ken Hu and Qualcomm president and CEO Cristiano Amon, will attend the opening session tomorrow morning.

Robotaxi safety operator is an occupation that exists only in our time, the result of an evolving technology that's advanced enough to get rid of a driver--most of the time, and in controlled environments--but not good enough to convince authorities that they can do away with human intervention altogether. Today, self-driving companies from the US, Europe, and China are racing to bring the technology to commercial application. Most of them, including Apollo, the self-driving arm of Baidu, have started on-demand robotaxi trials on public roads but still need to operate with various constraints. With an associate degree in human resources, Liu has no academic training related to this job, But he has always loved driving, and he acted as the driver for his boss in a previous role. When he heard about the self-driving technologies, his curiosity pushed him to look up related jobs online and apply.

Robotaxi safety operator is an occupation that only exists in our time, the result of an evolving technology that's advanced enough to get rid of a driver--most of the time, and in controlled environments-- but not good enough to convince authorities that they can do away with human intervention altogether. Today, self-driving companies from the US, Europe, and China are racing to bring the technology to commercial application. Most of them, including Apollo, the self-driving arm of Baidu, have started on-demand robotaxi trials on public roads yet still need to operate with various constraints. With an associate degree in human resources, Liu has no academic training related to this job, But he has always loved driving, and he acted as the driver for his boss in a previous role. When he heard about the self-driving technologies, his curiosity pushed him to look up related jobs online and apply.

Driverless cars will soon hit expressways for testing in Chinese capital Beijing, as the municipal authority has approved the gradual opening of several expressway sections for unmanned vehicles. A 10-km expressway between Beijing's fifth and sixth ring roads will be opened for such testings first. Six other expressway sections will be opened later to add another 143-km stretch to the city's high-speed testing roads for autonomous vehicles, according to a work group overseeing the city's innovation for mobility intelligence. Jiang Guangzhi, deputy director of the Beijing Municipal Bureau of Economy and Information Technology, said that the high-speed test of self-driving vehicles has a high entry threshold. Testing vehicles should be equipped with relevant devices and connected to a cloud computing platform for real-time data transmission to ensure the safety of expressway traffic.

The race to build fully autonomous cars has gone into hyper-drive, with major car-makers such as GM, Daimler, BMW and Audi promising SAE Level 5 autonomous driving by sometime in 2021. Goldman Sachs predicts that robo taxis will grow the ride-hailing and sharing business from $5 billion in revenue today to $285 billion by 2030. Autonomous driving will re-define mobility, and historic earning streams are sure to be toppled. Even with all the road testing the car-makers are doing, the only way the car companies can meet their ambitious goals is by leveraging the power of analytics and artificial intelligence (AI) to learn on real-world roads and accelerate development using simulations. The auto-makers are using simulation techniques such as hardware-in-the-loop (HIL) and software-in-the-loop (SIL) to make this happen.

The race to build fully autonomous cars has gone into hyperdrive, with major carmakers such as GM, Daimler, BMW and Audi promising SAE Level 5 autonomous driving by sometime in 2021. Goldman Sachs predicts that robo taxis will grow the ride-hailing and sharing business from $5 billion in revenue today to $285 billion by 2030. Autonomous driving will redefine mobility and historic earning streams are sure to be toppled. Even with all the road testing the carmakers are doing, the only way the car companies can meet their ambitious goals is by leveraging the power of analytics and artificial intelligence (AI) to learn on real-world roads and accelerate development using simulations. The automakers are using simulation techniques such as hardware-in-the-loop (HIL) and software-in-the-loop (SIL) to make this happen.

Driverless vehicles may seem unfamiliar now, but over the coming years you'll start to encounter - or even use them - on a daily basis. Will it mean the end of the driving licence and changes to the rules of the road? It's not uncommon to see a squat white droid trundling along the streets of Greenwich, south-east London, as it delivers takeaway food to the borough's residents at 4mph. In Paris and Helsinki, robot buses are shuttling passengers along city streets, while in Colorado an 18-wheeler truck drove beer 120 miles down a highway - without a driver. Around the world, projects like these are under way to help develop the technology that will ultimately bring driverless cars and other vehicles to our roads. But alongside the issue of whether they will work is another big question: how will pedestrians, cyclists and human drivers be kept safe?

The tests overseen by METI saw two four-seater electric carts navigate roads fitted with the required routing technology near hotels and tourist facilities in Chatan on the west coast of Okinawa Island. Further trials will involve driverless microbuses traveling short distances in other regions, according to the National Institute of Advanced Industrial Science and Technology, which conducted Monday's tests with other firms. Self-driving vehicles "can be utilized in less-populated areas and tourist sites. We are using these experiments to assess their safety," said Shin Kato, an official from the institute. In a joint effort with such firms as Yamaha Motor Co. and Hitachi Ltd., the institute will conduct more tests to evaluate safety issues while investigating ways to reduce waiting times for people using such services, the institute said.