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Lidar technology strengthens current approaches to ADAS

2019-05-13
Lidar technologies provide immediate and accurate free-space detection and excellent object detection and localization. As a result, a driver-assistance system designed with a high-performance, forward-looking lidar (FLL) sensor would greatly improve vehicle performance and safety. The third installment of this multipart series provides practical insight into the use of lidar technology as the cornerstone of a real-world advanced driver-assistance system.
Article

Parsons new smart city challenge aims to reduce intersection congestion

2019-08-22
Parsons Corporation has created a new series of government collaboration opportunities with its Smart Cities Challenge campaign. Smart Cities Challenge: Transforming Intersections is designed to significantly increase mobility around cities and reduce the amount of time drivers spend idling at red lights. The event’s sponsors and partners include Amazon Web Services and Verizon.
Article

OneWeb ramps up satellite production with new round of funding

2019-03-21
OneWeb has secured $1.25 billion in its latest funding round. The company, which seeks to deploy a satellite communication network by 2021 that will enable global high-speed, low-latency Internet access, has now raised a total of $3.4 billion to fund its mission. Tokyo-based Softbank Group Corp., Mexico’s Grupos Salinas, San Deigo-based Qualcomm Technologies Inc., and the Government of Rwanda led the last round of funding.
Article

Beep and Bestmile partner on self-driving fleets in Florida

2019-08-19
Beep Inc., an automated vehicle (AV) distributor based in Orlando, Florida, is partnering with Bestmile SA – a developer of fleet orchestration software. Through the collaboration, Beep will use Bestmile’s software to manage and monitor autonomous shuttle fleets that it sells to fleet owners who operate in low speed environments across the public and private sector.
Article

Nvidia partners with AdaCore to secure self-driving firmware

2019-02-14
As mobility software becomes increasingly complex and connected, so does the risk of human error and system safety. To combat this, New York-based software company AdaCore will work with Nvidia Corporation of Santa Clara, California to apply open-source Ada and SPARK programming languages for select software security firmware elements in highly-complex, safety-critical systems like Nvidia’s DRIVE AGX automated and autonomous vehicle solutions.
Article

McLaren Applied Technologies’ all-electric, AI-infused vision of Formula 1 racing

2019-01-30
McLaren Applied Technologies of Woking, United Kingdom unveiled their “MCLExtreme” (MCLE) vision for the future of grand prix racing. While McLaren Applied Technologies believes that the 2050 Formula 1 World Championship will still feature open-wheel, rear wheel drive cars with humans in the cockpit, artificial intelligence (AI), augmented reality, autonomous functions, and electric propulsion will play major roles.
Article

Forward-looking lidar can revolutionize driver-assistance systems

2019-05-07
Automakers have invested heavily in developing advanced driver-assistance technologies to make driving more comfortable and safe. The most advanced of these systems are already offered as vehicle features that satisfy Level 2 automated driving as defined by SAE International in SAE J 3016-2018 Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles and incorporate capabilities, such as Lane Keep Assist (LKA), Adaptive Cruise Control (ACC), and Automatic Emergency Braking (AEB). These features can intervene in certain driving scenarios to control the vehicle’s movement; yet, to ensure safe operation, the driver must remain attentive and focused on the driving environment.
Article

Designing and assessing vehicle safety functions with a use case approach

2021-08-27
For ADAS and AV applications, the parameters of safe operation will depend largely on the vehicle’s sensor and processing system’s ability to accurately gather and interpret data about the surrounding environment. Thus, clearly defining a safety feature’s intended ODD also highlights required levels of sensor performance.
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