LHP Engineering Solutions is the functional safety leader committed to creating safer transportation through ADAS, Electrification, and ISO 26262.
Learn more about our new A³DAS System by downloading a free technical demo today!
LHP is proud to announce a partnership with Konrad Technologies to deliver workflow management with test capability for ADAS/AD functional safety standards within the automotive industry.
Need to create a holistic functional safety ecosystem inside your organization?
LHP has defined an ecosystem consisting of six necessary focus areas that, when pursued together, place the development of autonomous vehicle technologies on the right track for safety, standardization, and automation.
ALM encompasses the methods and processes through which software is developed, managed, and controlled.
A well-defined ALM system ensures that the Development team is efficiently working toward a common goal and that the end user receives software suited for its intended purpose.
Though systems may be designed for safety, resilience, and reliability, the public may experience havoc and hazards if those systems are compromised by a malicious series of attacks.
Cybersecurity protects the integrity of the safety, reliability, resilience, and privacy characteristics of automotive systems.
Simulation of on-road vehicle scenarios is essential to the validation of self-driving vehicles. Developing software to simulate real-life environments allows testing to be done on the computer, not on the road.
The ISO 26262 Standard is the foundation for safety along with the additional safety standards that are under development. LHP’s ecosystem provides a model for creating vehicles worthy of trust.
With billions of lines of code in AVs, the establishment of automated testing systems and processes — validated per ISO 26262 — is crucial.
Professional training for modern transportation engineers
Global leaders in AV, EV, ADAS, ASPICE, & Functional Safety
ASIL, Automated, Advanced Driver-Assistance System (A3DAS)
For advanced hybrid and autonomous vehicle technology
