RoboSense and ControlWorks will partner to provide RoboSense’s Smart Light detection and ranging (LiDAR) sensor systems to Korean original equipment manufacturers (OEMs) and Tier 1 suppliers.

ControlWorks will provide localized sales channels, product services, and technical support for the Korean market. RoboSense will provide intelligent automotive-grade micro-electro-mechanical system (MEMS) solid-state LiDAR perception systems for Level 3+ mass production autonomous passenger cars – vehicles that can drive themselves but still require the vehicle’s driver to be aware of road conditions and ready to take over vehicle control at any time.

RoboSense’s autonomous perception systems consist of advanced smart sensors based on the RS-LiDAR-M1, a MEMS solid-state LiDAR, offering low cost and higher vehicle safety, reliability, and performance. LiDAR hardware and artificial intelligence (AI) point cloud perception algorithms output real-time environment information, including high-precision localization, obstacle detection, classification, and tracking.

The mass production version of the M1, to be provided to original equipment manufacturers (OEMs) and Tier 1 suppliers, will have a built-in dedicated computing chip to run RoboSense’s proprietary AI point cloud perception RS-LiDAR-algorithms, outputting the environment-perception results in real-time. With this smart sensor, customers of ControlWorks will no longer need an additional engine control unit (ECU) on-vehicle to run algorithms, reducing cost and saving space within the vehicle.

Catering to the critical applications of smart transportation, including passenger cars, RoboTaxis, unmanned low-speed vehicles and shuttles, and vehicle-to-roadside systems (V2R), RoboSense provides customized Smart LiDAR sensor systems by combining its 16-, 32-, and 128-channel LiDAR, short-range blind spot LiDAR, and AI point cloud perception algorithms. ControlWorks has integrated RoboSense’s perception system RS-Fusion-P3 system in their autonomous driving system, and they are planning to integrate RoboSense’s solid-state LiDAR RS-LiDAR-M1 in their next stage of testing.

RoboSense’s LiDAR system offers stable and reliable environment information, including accurate long- and close-range detection, and can be used in extreme weather and lighting conditions. Last March, the first all-weather driverless minibus GACHA, equipped with RoboSense’s cold-resistant LiDAR, was released in Finland by MUJI, Sensible 4, and RoboSense.

ControlWorks Co. Ltd. http://control-works.co.kr/wp

RoboSense https://www.robosense.ai

LHP, PerceptIn deliver autonomous solutions for microtransit industry

As part of an ongoing economic development initiative to bring autonomous solutions to Indiana, LHP and PerceptIn have partnered to develop an 8-seat pod, self-driving vehicle designed for microtransit in urban areas. Perceptln CEO and founder Shaoshan Liu and LHP CEO and co-founder David Glass are committed to promoting the safe and sustainable growth of achievable autonomous driving solutions.

“This partnership brings autonomous vehicles one step closer to becoming a reality. By focusing on microtransit, LHP and PerceptIn can introduce connected autonomous solutions to an industry without risking any disruptions to consumer safety,” Glass says.

PerceptIn’s modular integration of their sensor suite on LHP’s Dragonfly Pod allows original equipment manufacturers (OEMs) and Tier 1 manufacturers to incorporate self-driving solutions into existing human-operated vehicles using drive-by-wire.

LHP Engineering Solutions https://lhpes.com

PerceptIn https://www.perceptin.io

Valeo reaches $564 million in LiDAR sensor orders

Multinational automotive technology company Valeo has won $564 million worth of orders for its LiDAR car sensor products with four major global auto groups.

With more than $1 billion in corporate and private investment going into some 50 LiDAR startups throughout the past three years, including a record $420 million in 2018, Valeo is investing heavily to benefit from ever-tightening emissions regulations and increasing vehicle automation.

Valeo https://www.valeo.com