Browsing: ADAS

ZVISION unveiled their latest SPAD LiDAR – the ZVISION EZ6. Targeted for mass production within ADAS, the ZVISION EZ6 is a long-range, the ZVISION EZ6 is a long-range, cost-effective LiDAR solution.

Black Sesame Technologies and LeddarTech announced their partnership to jointly develop and market a comprehensive portfolio of automotive hardware and software technology for the Chinese domestic and global OEM / Tier 1 ADAS/AD market.

HERE Technologies announced its collaboration with Bosch and Daimler Truck AG on an advanced driver assistance system (ADAS) technology for commercial vehicles that automatically determines the most efficient driving style, helping to reduce driver stress, energy consumption, and CO2 emissions.

Texas Instruments (TI) introduced new semiconductors designed to improve automotive safety and intelligence. The AWR2544 77GHz millimeter-wave radar sensor chip is for satellite radar architectures, enabling higher levels of autonomy by improving sensor fusion and decision-making in ADAS.

Valeo, a global leader in automotive technology, and Applied Intuition, a vehicle software supplier, are partnering to provide a digital twin…

Hesai Technology, the global leader in lidar technology for automotive mobility, ADAS and industrial robotics applications, announced an automotive ADAS…

Cognata LTD has announced it will demonstrate its hardware automated parking assistance (APA) technology concept and architecture at CES 2024.

Lidwave, a developer of high-performance LiDAR-on-a-chip sensors, has announced that its MonoStaticOne sensor is available for simulation of industrial and automotive use cases, on the Cognata’s perception hub, running on Microsoft Azure and utilizes AMD processors and GPUs.

Indian Institute of Technology Madras’ (IIT Madras) Centre of Excellence for Road Safety (CoERS) has successfully concluded Road Safety Hackathon 2023 aimed at developing India-specific Advanced Driver Assistance Systems (ADAS) solutions.

Cognata proudly announces its collaboration with Microsoft to drive the Automated Driving Perception Hub (ADPH) global program, running on Microsoft Azure, and AMD EPYC™ processors and Radeon™ GPUs, to allow Automotive customers to virtually and efficiently evaluate ADAS/AV sensors through digital twin-based sensor simulation.