Neda Cvijetic

Neda Cvijetic works on DRIVE AV software for autonomous vehicles at NVIDIA. Previously, she held senior research positions at NEC Labs America, served on the adjunct faculty of Columbia University, and worked on advanced projects in autopilot and infotainment systems at Tesla Inc.

Performing Live: How AI-Based Perception Helps AVs Better Detect Speed Limits

Understanding speed limit signs may seem like a straightforward task, but it can quickly become more complex in situations in which different restrictions apply to different lanes (for example, a… Read Article

Perceiving with Confidence: How AI Improves Radar Perception for Autonomous Vehicles

Autonomous vehicles don’t just need to detect the moving traffic that surrounds them — they must also be able to tell what isn’t in motion…. Read Article

All the Right Moves: How PredictionNet Helps Self-Driving Cars Anticipate Future Traffic Trajectories

Editor’s note: This is the latest post in our NVIDIA DRIVE Labs series. With this series, we’re taking an engineering-focused look at individual autonomous vehicle challenges and how the NVIDIA DRIVE… Read Article

Checking the Rearview Mirror: NVIDIA DRIVE Labs Looks Back at Year of Self-Driving Software Development

The NVIDIA DRIVE Labs video series provides an inside look at how self-driving software is developed. One year and 20 episodes later, it’s clear there’s nearly endless ground to cover…. Read Article

At a Crossroads: How AI Helps Autonomous Vehicles Understand Intersections

Handling intersections autonomously presents a complex set of challenges for self-driving cars. This includes the ability to stop accurately at an intersection wait line or crosswalk, correctly process and interpret… Read Article

Laser Focused: How Multi-View LidarNet Presents Rich Perspective for Self-Driving Cars

Lidar can give autonomous vehicles laser focus. By bouncing laser signals off the surrounding environment, these sensors can enable a self-driving car to construct a detailed and accurate 3D picture… Read Article

Pixel-Perfect Perception: How AI Helps Autonomous Vehicles See Outside the Box

A self-driving car’s view of the world often includes bounding boxes — cars, pedestrians and stop signs neatly encased in red and green rectangles. In the real world, however, not… Read Article

Searching for a Parking Spot? AI Got It

Editor’s note: This is the latest post in our NVIDIA DRIVE Labs series, which takes an engineering-focused look at individual autonomous vehicle challenges and how NVIDIA DRIVE addresses them. Catch up… Read Article