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Posts Tagged ‘LIDAR’

Siemens Making Sense of Autonomous Vehicle Sensors Through Digital Simulation – Part 2

Thursday, April 5th, 2018

Editor’s Note: This is the second part of a two-part article on Siemens’ simulation efforts aimed at making autonomous vehicles safer while making verification and validation processes more comprehensive and efficient.

Last week, Siemens introduced a solution for the development of autonomous driving systems as part of its Simcenter portfolio that minimizes the need for extensive physical prototyping while dramatically reducing the number of logged test miles necessary to demonstrate the safety of autonomous vehicles.

This computing and simulation platform is aimed at accelerating the validation and verification of autonomous cars.

The new solution integrates autonomous driving technologies from recent Siemens acquisitions Mentor Graphics and TASS International. TASS’ PreScan simulation environment produces highly realistic, physics-based simulated raw sensor data for an unlimited number of potential driving scenarios, traffic situations and other parameters.

The data from PreScan’s simulated LiDAR, radar and camera sensors is then fed into Mentor’s DRS360 platform, where it is fused in real time to create a high-resolution model of the vehicle’s environment and driving conditions. Customers can then leverage the DRS360 platform’s superior perception resolution and high-performance processing to test and refine proprietary algorithms for critical tasks such as object recognition, driving policy and more.

 

TASS International Acquisition

Last summer, Siemens acquired TASS International, a provider of simulation software, plus engineering and test services aimed primarily at the automotive industry, and focused on autonomous driving, integrated safety, advanced driver assistance systems (ADAS), and tire modeling. The company developed a family of solutions that strengthen Siemens’ PLM software portfolio, and add to its position as a leading supplier of “systems driven product development” offerings for the automotive industry.

The video below shows testing of a complete vehicle in a controlled hardware-in-the-loop environment for validating Automatic Emergency Braking (AEB) systems.

 

TASS Vehicle Hardware-in-the-Loop AEB Testing

TASS International is focused on automated driving solutions and integrated (active, passive) safety, primarily for the automotive industry. With its PreScan software, car manufacturers, suppliers and government agencies can simulate complex traffic scenarios and virtually validate automated driving and advanced driver assistance systems.

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Siemens Making Sense of Autonomous Vehicle Sensors Through Digital Simulation – Part 1

Thursday, March 29th, 2018

Although they hold much promise, this has not exactly been a stellar time lately for self-driving/autonomous vehicles. As a matter of fact, recent events have cast a dark cloud over them.

Testing them on the road is, of course, essential, but I’ve often wondered if digital simulation could be used more to maximize safety and efficiency with less road testing required.

As it turns out, this very thing, simulation, is finally being performed quite extensively.

This week, Siemens introduced a breakthrough solution for the development of autonomous driving systems as an addition its Simcenter portfolio that minimizes the need for extensive physical prototyping while dramatically reducing the number of logged test miles necessary to demonstrate the safety of autonomous vehicles.

In a nutshell, this computing and simulation platform is aimed at accelerating the validation and verification of autonomous cars.

Siemens PLM Software Driving Simulator

According to the findings of a report issued by the Rand Corporation, autonomous vehicle prototypes would have to be driven hundreds of millions of miles, and in some cases hundreds of billions of miles, over the course of several decades to demonstrate their reliability in terms of fatalities and injuries – an outcome the authors deemed inconsistent with the near-term commercial viability of self-driving cars. For possible solutions to these challenges, the researchers pointed to innovative testing methods such as advanced simulation technologies.

Leveraging advanced, physics-based simulation and innovative sensor data processing technologies, the new Siemens solution is designed to help automakers and their suppliers address this industry challenge with the potential to shave years off the development, verification and validation of self-driving cars.

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Gamma 2 Robotics Launches Unique Security Robot For What Goes Bump In The Night

Thursday, June 30th, 2016

A couple weeks ago at Hexagon’s International Conference (HxGN Live 2016), Gamma 2 Robotics, makers of artificially intelligent autonomous security robots, intoduced RAMSEE, a new security patrol robot. The launch at HxGN LIVE was part of a new partnership with Hexagon Safety & Infrastructure.

I spoke with the company’s chief product officer, Francis X. Govers III in a video interview at the conference that you can view by clicking here.

RAMSEE is a physical robotic presence that, once it is programmed, patrols autonomously without supervision and provides real-time data on intruders, motion, heat, fire, smoke, and toxic gas leaks. The company says that it will soon offer fire suppression options for RAMSEE. As a human-machine interface it creates a powerful force multiplier, especially noteworthy for jobs that are difficult to fill, such as overnight security.

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