According to foreign media reports, Tactile Mobility, a tactile data and virtual sensing technology company, has launched a runover virtual sensor solution that enables vehicles to determine the object being hit in real time, thereby preventing complete runover.
(Image source: Tactile Mobility)
The software-only solution uses tactile technology to detect objects of varying heights, sizes, shapes and materials on the road, such as people, road debris and other objects. The virtual sensor prevents the vehicle from running over objects, which could cause injury, death or damage to the vehicle. The virtual sensor will be added to the Tactile Processor Platform, which includes the company's suite of virtual sensors, such as sensors for grip estimation, tire health, road surface perception, and vehicle health.
According to NHTSA, hundreds of children are killed and thousands injured each year in non-traffic accidents in parking lots and on the road. Runover virtual sensors in self-driving cars and ADAS-equipped vehicles can send signals to the vehicle to alert the vehicle and driver at different stages of the run, thereby helping to reduce casualties. This new virtual sensor will enable the vehicle to sense the road, identify the type of material under the tire, and issue an alert when a collision initially occurs, preventing the vehicle from completely running over the object and causing a fatal accident.
Three-quarters of Americans are afraid to ride in fully self-driving cars. To gain the public's trust, self-driving cars must be safer than human-controlled cars. To do this, self-driving cars must respond to vehicle road dynamics like human drivers, or even better than human drivers, and must not only be able to "see" the road ahead, but also be able to "feel" road friction, roughness, curves, slopes, bumps and objects on the road. Runover sensors allow vehicles to sense the road and respond to obstacles, hazards and vulnerable objects, thereby significantly reducing damage.
Tactile Mobility's solutions include vehicle computer-based on-board modules and cloud-based systems. Its software collects primary data from the vehicle's built-in non-visual sensors, including wheel speed, wheel angle, rotation speed, and gear position, and then analyzes it to obtain actionable information in real time. This information provides a clear and accurate description and analysis of the vehicle, road, and vehicle-road dynamics. Due to its availability, accuracy, and high quality, this data can be used in areas such as road planning and management, tire condition and wear tracking, and insurance.
Previous article:[Analysis] 4D imaging radar combines both hardware and software to achieve even better performance
Next article:Smart Eye and OmniVision Technologies Launch End-to-End In-Vehicle Sensing Solutions to Support High-Level Autonomous Driving
Recommended ReadingLatest update time:2024-11-16 15:18
- Popular Resources
- Popular amplifiers
- Analysis and Implementation of MAC Protocol for Wireless Sensor Networks (by Yang Zhijun, Xie Xianjie, and Ding Hongwei)
- Introduction to Internet of Things Engineering 2nd Edition (Gongyi Wu)
- 西门子S7-12001500 PLC SCL语言编程从入门到精通 (北岛李工)
- Modern Motor Control Technology (Wang Chengyuan, Xia Jiakuan, Sun Yibiao)
- Car key in the left hand, liveness detection radar in the right hand, UWB is imperative for cars!
- After a decade of rapid development, domestic CIS has entered the market
- Aegis Dagger Battery + Thor EM-i Super Hybrid, Geely New Energy has thrown out two "king bombs"
- A brief discussion on functional safety - fault, error, and failure
- In the smart car 2.0 cycle, these core industry chains are facing major opportunities!
- The United States and Japan are developing new batteries. CATL faces challenges? How should China's new energy battery industry respond?
- Murata launches high-precision 6-axis inertial sensor for automobiles
- Ford patents pre-charge alarm to help save costs and respond to emergencies
- New real-time microcontroller system from Texas Instruments enables smarter processing in automotive and industrial applications
- Innolux's intelligent steer-by-wire solution makes cars smarter and safer
- 8051 MCU - Parity Check
- How to efficiently balance the sensitivity of tactile sensing interfaces
- What should I do if the servo motor shakes? What causes the servo motor to shake quickly?
- 【Brushless Motor】Analysis of three-phase BLDC motor and sharing of two popular development boards
- Midea Industrial Technology's subsidiaries Clou Electronics and Hekang New Energy jointly appeared at the Munich Battery Energy Storage Exhibition and Solar Energy Exhibition
- Guoxin Sichen | Application of ferroelectric memory PB85RS2MC in power battery management, with a capacity of 2M
- Analysis of common faults of frequency converter
- In a head-on competition with Qualcomm, what kind of cockpit products has Intel come up with?
- Dalian Rongke's all-vanadium liquid flow battery energy storage equipment industrialization project has entered the sprint stage before production
- Allegro MicroSystems Introduces Advanced Magnetic and Inductive Position Sensing Solutions at Electronica 2024
- Car key in the left hand, liveness detection radar in the right hand, UWB is imperative for cars!
- After a decade of rapid development, domestic CIS has entered the market
- Aegis Dagger Battery + Thor EM-i Super Hybrid, Geely New Energy has thrown out two "king bombs"
- A brief discussion on functional safety - fault, error, and failure
- In the smart car 2.0 cycle, these core industry chains are facing major opportunities!
- The United States and Japan are developing new batteries. CATL faces challenges? How should China's new energy battery industry respond?
- Murata launches high-precision 6-axis inertial sensor for automobiles
- Ford patents pre-charge alarm to help save costs and respond to emergencies
- New real-time microcontroller system from Texas Instruments enables smarter processing in automotive and industrial applications
- EEWORLD University ---- TI GaN-based high-frequency (1.2MHz) high-efficiency 1.6kW high-density critical mode (CrM) totem pole power factor correction (PFC) converter application introduction
- PT100 temperature measurement circuit
- Battery Pack BMS Coulomb Counter Chip Solution
- How to distinguish between pads and vias_Differences between vias and pads
- Could you please tell me what circuit is generally used to implement the 0/4-20mA drive circuit?
- Principle and application of diaphragm pressure gauge
- Showing off your products (6) - silicon lab
- EEWORLD University - How to draw a high-end PCB ruler with Altium20
- Agitek case sharing - Metrology and testing demonstration case of automotive electronic modules
- How to turn off MPLAB XIDE's code optimization function