In robotics and computer vision communities, extensive studies have been widely conducted regarding surveillance tasks, including human detection, tracking, and motion recognition with a camera. Additionally, deep learning algorithms are widely utilized in the aforementioned tasks as in other computer vision tasks. Existing public datasets are insufficient to develop learning-based methods that handle various surveillance for outdoor and extreme situations such as harsh weather and low illuminance conditions. Therefore, we introduce a new large-scale outdoor surveillance dataset named eXtremely large-scale Multi-modAl Sensor dataset (X-MAS) containing more than 500,000 image pairs and the first-person view data annotated by well-trained annotators. Moreover, a single pair contains multi-modal data (e.g. an IR image, an RGB image, a thermal image, a depth image, and a LiDAR scan). This is the first large-scale first-person view outdoor multi-modal dataset focusing on surveillance tasks to the best of our knowledge. We present an overview of the proposed dataset with statistics and present methods of exploiting our dataset with deep learning-based algorithms. The latest information on the dataset and our study are available at https://github.com/lge-robot-navi, and the dataset will be available for download through a server.

If you want to creep past this new security bot, you'd better be good at holding your breath. TiaLinx's new Cougar20-H is a lightweight, remote-controlled surveillance robot that can detect human breathing and scan through concrete walls with its ultra-wideband radio frequency sensor array. The Cougar20-H moves around on tracks and can roll up to a building, extend its arm, and start scanning through the wall with its RF array, developed with funding from the U.S. Army. Operated from a laptop that can be more than 300 feet away, the robot can scan through reinforced concrete by detecting reflected radio waves. It can find people who are moving or even keeping still, so the operator can see them in real time.

Below is a series of questions that I have been asked frequently and preliminary answers. The facts remain incomplete, so these are preliminary thoughts. In the wake of the shooting of the Dallas police officers Thursday night during a peaceful protest, police cornered the shooter -- Micah Xavier Johnson -- in a parking garage. After an hours-long standoff that included exchanges of gunfire, they used a robot to deliver an explosive that killed the gunman. "We saw no other option but to use our bomb robot and place a device on its extension for it to detonate where the subject was," Dallas Police Chief David Brown said at a news conference Friday morning.