From Vision to Reality – The AUTONAVIS Journey
At AUTONAVIS R&D, we don’t just imagine the future — we build it, step by step. This video captures more than a timeline; it's a story of transforming knowledge into innovation, ideas into prototypes, and prototypes into real-world solutions that lead to impactful products. What you see here is the result of self-funded dedication, driven by passion, built on expertise, and guided by a vision for autonomy. AUTONAVIS R&D isn’t just a conventional tech company; We are an applied R&D force, creating solutions through hands-on innovation and open collaboration in projects that accelerate progress and scale real-world impact.
🎥 Watch the full video to see how far we have come — and imagine how far we can go.
GoCAV Video Gallery
GoCav Steering Wheel Neural Network
GoCAV is an entirely in-house developed autonomous platform, designed for real-time control and decision-making in complex environments. In the latest track session, 10 diverse real-world scenarios provided critical insights that enhanced the performance of the steering neural network. Thanks to clear weather and a controlled testing environment, the team achieved consistent and focused model training. GoCAV showcased advanced long-range object detection, accurately identifying obstacles beyond the immediate roadside through integrated vision and perception systems. During each run, all vehicle parameters were continuously logged via real-time telemetry, enabling in-depth analysis and system refinement. Every test brings GoCAV closer to achieving safe, scalable, and mission-ready autonomy.
Team in Action
We specialize in autonomous vehicle technologies and advanced embedded systems. Our dedicated team brings innovation from the lab to real-world environments, continuously testing and refining our solutions with the GoCAV platform in the field.
> Expertise in autonomous vehicles and embedded systems
> Hands-on team, actively validating in real-world scenarios
> Ongoing field testing and iterative development
> Next step: transferring our proven technology from GoCAV to a full-size electric vehicle
We are always looking for new partners and opportunities! If you’re interested in collaborating on a Horizon Mobility Project, let’s connect. See the latest Horizon Europe mobility funding opportunities: https://lnkd.in/dURWUrYa
GoCAV Presentation
The GoCAV project is designed to minimize risks and accelerate the development of full-size autonomous vehicles by bridging the gap between simulation and real-world application. With an advanced AI system and sensors like cameras, Lidar, and ultrasonics, GoCAV integrates these technologies with traditional vehicle controls—steering, throttle, and brakes—connected to the vehicle’s CPU. Supported by Real Time Kinematics GPS and a safety-oriented kill switch, the system’s design combats electromagnetic interference with high-quality cables and strategic component placement. Further enhancements include a CAN-FD network for robust microcontroller-to-CPU communication and an integrated control panel for real-time diagnostics and engine monitoring.
GoCAV Camera Evaluation
The GoCAV camera system integrates advanced vision technologies to accurately detect and interpret the environment. Coupled with LiDAR and ultrasonic sensors, the camera trials evaluate the robustness of object detection and obstacle avoidance in real-world scenarios. These trials also test the system's ability to adapt to varying lighting conditions and environmental challenges, ensuring optimal sensor fusion and reliability. By continuously refining the camera performance, the trials aim to push the boundaries of autonomous vehicle vision capabilities, paving the way for safer and more reliable autonomous systems.
GoCAV Platform Evaluation
The GoCAV Platform bridges advanced AI systems with real-world applications, offering real-time visualization of vehicle movement, sensor performance, and diagnostics. Connected with the vehicle's CPU and CAN-FD network ensures rapid issue detection and resolution, supporting smooth transitions from simulations to test track evaluations.
The Platform enables monitoring and adaptation to diverse conditions, accelerating autonomous feature development and facilitating integration with new technology.
GoCAV GPS Trials
The GoCAV system leverages Real-Time Kinematics (RTK) GPS to ensure precise positioning, achieving centimeter-level accuracy critical for autonomous navigation. This level of precision enhances the system's ability to operate reliably in complex environments and provides a robust framework for developing advanced path-planning algorithms. By transitioning from controlled simulations to real-world test track evaluations, the GPS trials validate the system's reliability under diverse conditions, including potential electromagnetic interference. These trials are pivotal in reducing testing time while enhancing safety and performance in pilot tests.
GoCav Steering Wheel Neural Network
GoCAV is an entirely in-house developed autonomous platform, designed for real-time control and decision-making in complex environments. In the latest track session, 10 diverse real-world scenarios provided critical insights that enhanced the performance of the steering neural network. Thanks to clear weather and a controlled testing environment, the team achieved consistent and focused model training. GoCAV showcased advanced long-range object detection, accurately identifying obstacles beyond the immediate roadside through integrated vision and perception systems. During each run, all vehicle parameters were continuously logged via real-time telemetry, enabling in-depth analysis and system refinement. Every test brings GoCAV closer to achieving safe, scalable, and mission-ready autonomy.
Team in Action
We specialize in autonomous vehicle technologies and advanced embedded systems. Our dedicated team brings innovation from the lab to real-world environments, continuously testing and refining our solutions with the GoCAV platform in the field.
> Expertise in autonomous vehicles and embedded systems
> Hands-on team, actively validating in real-world scenarios
> Ongoing field testing and iterative development
> Next step: transferring our proven technology from GoCAV to a full-size electric vehicle
We are always looking for new partners and opportunities! If you’re interested in collaborating on a Horizon Mobility Project, let’s connect. See the latest Horizon Europe mobility funding opportunities: https://lnkd.in/dURWUrYa
GoCAV Presentation
The GoCAV project is designed to minimize risks and accelerate the development of full-size autonomous vehicles by bridging the gap between simulation and real-world application. With an advanced AI system and sensors like cameras, Lidar, and ultrasonics, GoCAV integrates these technologies with traditional vehicle controls—steering, throttle, and brakes—connected to the vehicle’s CPU. Supported by Real Time Kinematics GPS and a safety-oriented kill switch, the system’s design combats electromagnetic interference with high-quality cables and strategic component placement. Further enhancements include a CAN-FD network for robust microcontroller-to-CPU communication and an integrated control panel for real-time diagnostics and engine monitoring.
GoCAV Camera Evaluation
The GoCAV camera system integrates advanced vision technologies to accurately detect and interpret the environment. Coupled with LiDAR and ultrasonic sensors, the camera trials evaluate the robustness of object detection and obstacle avoidance in real-world scenarios. These trials also test the system's ability to adapt to varying lighting conditions and environmental challenges, ensuring optimal sensor fusion and reliability. By continuously refining the camera performance, the trials aim to push the boundaries of autonomous vehicle vision capabilities, paving the way for safer and more reliable autonomous systems.
GoCAV Platform Evaluation
The GoCAV Platform bridges advanced AI systems with real-world applications, offering real-time visualization of vehicle movement, sensor performance, and diagnostics. Connected with the vehicle's CPU and CAN-FD network ensures rapid issue detection and resolution, supporting smooth transitions from simulations to test track evaluations.
The Platform enables monitoring and adaptation to diverse conditions, accelerating autonomous feature development and facilitating integration with new technology.
GoCAV GPS Trials
The GoCAV system leverages Real-Time Kinematics (RTK) GPS to ensure precise positioning, achieving centimeter-level accuracy critical for autonomous navigation. This level of precision enhances the system's ability to operate reliably in complex environments and provides a robust framework for developing advanced path-planning algorithms. By transitioning from controlled simulations to real-world test track evaluations, the GPS trials validate the system's reliability under diverse conditions, including potential electromagnetic interference. These trials are pivotal in reducing testing time while enhancing safety and performance in pilot tests.