The year 2020 is bringing in a slew of innovative products set to transform vehicles themselves, as well as the automotive experience. Here are 10 products to watch.
Every year brings plenty of new vehicles, but there are also even more technologies behind those vehicles. Now more than ever technology companies are releasing new technologies to make vehicles safer, more connected, and more autonomous.
Here are some new innovations – from chips, to headlights, and even sensors for infrastructure – that will be transforming vehicles in 2020 and the years to come.
More and more engineers are coming to believe that autonomous vehicles should integrate thermal imagining and sensing capabilities into their sensor array. Adasky has released Viper, a long-wave infrared (LWIR) thermal camera system for autonomous vehicles and ADAS that integrates both an automotive-grade image signal processor and edge-based computer vision algorithms – allowing it to recognize vehicles, pedestrians, animals, and other objects on the road on its own.
The ISO 26262 ASIL-B ready camera consumes less than 750mW of power, according to the company, and captures VGA images at up to 60 frames per second. Viper can also be integrated directly into vehicles’ headlights – reducing their visible footprint for automotive designers.
(Image source: Adaksy)
Boréas Technologies BOS1211 Haptic Feedback Chip
Haptic feedback is looking to become the next frontier in automotive interfacing. Touchscreens after all have some of the same disadvantages of a mechanical dashboard. Haptics would allow drivers and passengers easy control of dashboard functions with less distraction.
Haptic technology developer Boréas Technologies, has announced the BOS1211, a low-power, high-voltage, piezoelectric driver integrated circuit for enabling high-definition haptic feedback in vehicle interfaces such as infotainment screens and steering wheels. Boréas is partnering with TDK to make the BOS1211 compatible with TDK’s PowerHap family of piezo actuators and to meet the standards of the automotive market.
The BOS1211 is based on the company’s proprietary CapDrive technology, a scalable piezo driver architecture optimized for energy efficiency, low heat dissipation, and rapid response times. Boréas is planning to launch a plug-and-play development kit for automotive haptic feedback in February 2020.
(Image source: Boréas Technologies)
Bosch 3D Display For Automotive
Bosch captured a lot of attention at CES 2020 with a handful of new automotive new technology announcements. Among the company’s new offerings is a 3D display that uses passive multi-view 3D technology to generate three-dimensional graphics in a vehicle’s cockpit – without the need for 3D glasses or special cameras. Bosch says the 3D effect is visible for multiple people inside the vehicle from multiple angles without shaking or blurring and is adjustable to the user’s preference.
The company believes its 3D displays can enhance safety by pushing important information and alerts right into a driver’s field of vision and reduce overall driver distraction.
(Image source: Bosch)
Bosch Virtual Visor
Bosch want to replace your car’s boring, traditional visor with a transparent LCD that can keep the sun out of your eyes without reducing your ability to see the road. The company’s Virtual Visor uses a camera that tracks the driver’s face and eyes and utilizes computer vision technology to only block the portion of the visor where the sun would be hitting the driver’s eyes – leaving the rest of the visor transparent. The result is more of a floating point effect in blocking the light, rather than having a chunk of your windshield completely blocked out.
(Image source: Bosch)
Koito Manufacturing BladeScan ADB
High beams are an important safety feature. But we all hate that person who pulls up behind us or comes at us head-on with their high beams blazing.
Koito Manufacturing‘s Adaptive Driving Beam (ADB) technology is a headlight upgrade that selectively dims and brightens areas of the road to improve driver visibility. Using a camera sensor that provides information to the headlight LEDs, the BladeScan ADB can selectively dim the high beams to low beams for oncoming traffic to prevent glare, for example.
The BladeScan ADB creates what the company calls a “controlled, high-resolution photometry pattern” in front of the vehicle by emitting LED light onto rotating reflectors (“blades”) and then reflecting it at an angle and pulsing it on and off through a plastic lens and onto the roadway. Doing this the company says BladeScan minimizes the dimmed area in front of the vehicle and can increase the visibility of other vehicles, pedestrians, and other potential road hazards without causing annoying glare to surrounding vehicles.
BladeScan ADB has already been integrated into the 2020 Toyota Lexus RX.
(Image source: Kioto Manufacturing)
Outsight 3D Semantic Camera
The 3D Semantic Camera from Outsight aims to “bring full situational awareness to smart machines,” according to the company. The Outsight camera is capable of detecting, tracking, and classifying objects with up to centimeter accuracy and relaying that information to other smart devices – including autonomous and connected vehicles. Utilizing a low-power, long-range broadband laser also allows the camera to identify material composition of objects via hyperspectral analysis under any lighting conditions – adding a new level of confidence to determining what the camera is seeing.
The camera also uses 3D Simultaneous Localization and Mapping (SLAM) technology for positional data. Outsight says its camera does all of this via edge-based processing through an onboard SoC that does not rely on machine learning. By taking a machine learning-free approach Outsight says it is able to reduce energy consumption and bandwidth needs and also eliminate the need for massive data sets to train the cameras.
Outsight’s cameras will be deployed at Paris-Charles de Gaulle airport. The company also offers a vehicle-specific version of its cameras.
(Image source: Outsight)
Qualcomm Snapdragon Ride
Chipmaker Qualcomm has unveiled the first generation of a new SoC targeted at autonomous driving. The Snapdragon Ride platform will come in versions focused on safety and autonomy respectively, with the aim of providing automakers a scalable solution designed to support Level 1 and 2 autonomy – with features including automatic emergency braking, traffic sign recognition, lane keeping assistance, automated highway driving, and self-parking as well as Level 4 and 5 full autonomy.
The Snapdragon Ride SoCs are capable of performing 30 Tera Operations Per Second (TOPS) for Level 1 and 2 applications and up to over 700 TOPS for Level 4 and 5 applications and are designed for functional safety ASIL-D systems.
Qualcomm says the platform will be available for pre-development to automakers and Tier-1 supplies in the first half of 2020. The first vehicles to utilize Snapdragon Ride are expected in 2023.
(Image source: Qualcomm)
RoboSense RS-LiDAR-M1 Smart LiDAR
RoboSense is releasing what it calls the world’s first smart solid-state LiDAR for autonomous vehicles. The company says its RS-LiDAR-M1 line of LiDAR products offer several advantages over mechanical LiDAR systems. The RS-LiDAR-M1 has a 120 x 25-degree field of view, a 15Hz frame rate, and a detection range of up to 150m at 10% NIST target. Its solid-state design also means fewer parts and a more modular design, making it easier for automakers to integrate and scale. In tests conducted by the company, Robosense reports that the RS-LiDAR-M1 met standards of performance for rain and fog and under different light and wind speed conditions and can adapt to all climatic and working conditions. The first version, the RS-LiDAR-M1Simple, is currently available.
(Image source: RoboSense)
Siemens PAVE360 Automotive Digital Twin Platform
Siemens has announced a new digital twin solution for the automotive industry. PAVE360 allows automakers and OEMs to simulate and validate automotive SoCs and other systems in the context of the vehicle, before the vehicle is built. Developed in collaboration with Arm, PAVE360 is able to model sensors, ICs, as well as other systems related to vehicle dynamics and the overall vehicle environment. Engineers can use the solution to create simulations for systems related to safety, ADAS, infotainment, digital cockpits, V2V and V2X, and even autonomous driving applications.
(Image source: Siemens PLM)
Valerann Smart Roads System
The emergence of smart cities is rapidly making infrastructure technologies as important as those inside of automobiles. Valerann has developed a sensor, the Valerann Stud, that can replace standard road pavement markers, transforming roads into an IoT sensor network. The solar-powered sensors use LoRA communication to relay information to each other and can track road conditions – including accidents and weather – in real time. The company says it can even track the exact driving pattern of every single vehicle on the road, right down to each vehicle’s specific lane location, in real time.
The sensors also come equipped with LEDs and can change color to alert drivers of hazardous conditions such as ice, let them know to slow down or stop, and even indicate if they are driving in the wrong direction down a one-way road. The Valerann Smart Roads System is currently deployed various locations in the UK and Europe.
(Image source: Valerann)
Chris Wiltz is a Senior Editor at Design News covering emerging technologies including AI, VR/AR, blockchain, and robotics.