--- source_url: "https://www.perciv.ai/?utm_source=openai" title: Perciv.ai mirrored_at: 2026-08-29T01:03:15.828Z host: www.perciv.ai cited_in_42a: true mirror_canonical: "https://index.42a.ai/www.perciv.ai/index__q__utm_source_openai" --- > **Original source:** https://www.perciv.ai/?utm_source=openai ## We make robots see with radars on-road, off-road, and beyond. Perception, no matter what. #### LiDAR-like performance. Fraction of the cost. Any radar. Any circumstances. ### Introducing world’s first dedicated AI for radar perception. Most automated vehicles, robots and systems today are using LiDARs, even though they are expensive, fragile, and struggle in harsh conditions such as rain, night, fog, dust, smoke, and so on. Perciv AI solves all these problems by replacing LiDARs using AI-driven radar and radar-camera fusion software. Combined with affordable, off-the-shelf radars, our technology enable scalable and robust autonomy. ![](https://images.squarespace-cdn.com/content/v1/62d1b73ae385f72d4912e77d/e58336f5-bb9e-42fc-8f9d-315c1abab4cd/Buggy.png) ![](https://images.squarespace-cdn.com/content/v1/62d1b73ae385f72d4912e77d/ebc4abcc-b046-466a-830e-a0df9b34fe11/craiyon_212544_image.png) ### Compatible with systems on-road or off-road, indoor or in-air Perciv AI’s products has been deployed on cars, trucks, forklifts, off-roaders, drones, and beyond. We help any robot to understand their environment regardless the conditions. **On-road applications** ADAS and Smart City use-cases **Indoor applications** Logistics, warehouse, and Smart home use-cases **Off-road applications** Agriculture and Defense use-cases **In-air applications** Collision Avoidance, take-off and landing, and C-UAS/drone detection use-cases ### Perciv’s product line contains solutions for the four main challenges every robot faces: 1. Localization: Placing the robot in the 3D world -> **Perciv** **EgoTrack** 2. Detection: Sensing and detecting any objects / obstacles around the robot -> **Perciv** **FreeRoad** 3. Classification: Classifying and tracking objects around the robot -> **Perciv** **Objects** 4. Fusion: Increasing accuracy and robustness by sensor fusion ->**Perciv** **Fusion** ### Learn about all four products below! ### Perciv EgoTrack: Radar-only ego-motion estimation Perciv EgoTrack provides reliable ego-motion and odometry information purely based on one or multiple radars. Highly useful for GPS-denied areas, such as urban canyons or parking garages, and provides reliable odometry even off-road. - **Radar-only** ego-motion estimation - **No GPS / IMU**, or other sensor is needed - **All-weather** performance - **Translational drift as low as 2% (1% with IMU)** ### Perciv FreeRoad: Radar-only free-space Estimation Perciv FreeRoad provides reliable **occupancy** information about the environment purely based on radar sensors, detecting both **dynamic** and **static** objects **regardless of their classes**. Very useful feature for e.g. **lost cargo** and **collision avoidance** challenges. - **Reliable**, radar-only **occupancy** - **All-weather**, **day** and **night** - **Detects all** **static** or **dynamic** objects - **Obstacle** detection **regardless of class** - **Up to 150 m, up to 99.99% Recall for VRU-s** ### Perciv Objects: Radar-only object detection and classification Perciv **Objects** is a state-of-the-art radar-only **object detection, classification** and **tracking** module, providing an object list with quality never seen before for radars.  It detects cars, pedestrians, and two-wheelers out of the box - additional classes are available on demand. - **Object list with 3D pose, velocity, class, and track** - **All-weather**, **day** and **night** - **Lidar-Level classification performance** - **Existing** or **on-demand** object **classes** available - **#1 performance** on the **View-of-Delft and ManScenes benchmark datasets** - **4x times better classification** than leading tier-1’s solution ### Perciv Fusion: The strength of radars and cameras Every product of Perciv AI is available **in radar-only** and in **radar + RGB/Thermal camera fusion** versions. Fusing light sensors with radars increase classification accuracy and redundancy at a system level, truly challenging the performance of LiDAR sensors at a fraction of the cost. **Early-** and **late-fusion** both offered, along with **multi-level fusion** solutions, depending on the exact needs. ### Flexibility from the core With Perciv, the perception pipeline adapts to you, not the other way around. 1. **Sensor-agnostic:** From low-end to high-end radars, Perciv AI works with any kinds of radar hardware. 2. **Compute-agnostic:** by using extremely light-weight, < 2 TOPs networks, Perciv is compatible with a wide range of compute solutions. 3. **Modular and Customizable:** Unlike Tier-1s, Perciv offers its features in a modular way - each module configurable and fine-tunable to your use-case right out of our SDK. 4. **AI-Driven:** Our foundational AI models are trained on large amount of heterogeneous data, and are fine-tuned to your exact application, mounting, and use-case. ![](https://images.squarespace-cdn.com/content/v1/62d1b73ae385f72d4912e77d/624434f5-ddfa-4784-9ccb-e2cfa266e6a3/Picture6.png) ![](https://images.squarespace-cdn.com/content/v1/62d1b73ae385f72d4912e77d/fd1e374f-4700-4f3a-8fad-ee95b5e69d15/Picture5.png) ![](https://images.squarespace-cdn.com/content/v1/62d1b73ae385f72d4912e77d/24fd381f-0551-465d-a12f-91e0382da75a/Picture111.png) ![](https://images.squarespace-cdn.com/content/v1/62d1b73ae385f72d4912e77d/0efcddf6-6c74-4d00-b5f0-bc862f4ffe1f/Picture11.png) ### State-of-the-Art Radar AI Research The Team of Perciv AI has been pushing the state-of-the-art radar perception for years. With over 600+ citations, we established our place in the cutting edge or radar AI research. You can read a couple of our latest papers on the right. - **LeAP: Consistent multi-domain 3D labeling using Foundation Models.** [**Read it here**](https://arxiv.org/abs/2502.03901) - Multi-class Road User Detection with 3+1D Radar in the View-of-Delft Dataset [Read here](https://repository.tudelft.nl/islandora/object/uuid:663863c1-35b8-48a5-9bc7-e775df8d7fac) - 3+1D Radar and Camera based Point Cloud Estimation for 3D Road User Detection [Read here](https://repository.tudelft.nl/islandora/object/uuid:27d7fa76-3f4d-4f75-a915-b5b285b3608a) - CNN Based Road User Detection Using the 3D Radar Cube [Read here](https://repository.tudelft.nl/islandora/object/uuid%3A7e307c82-86d4-420a-957c-214d377a7d11) - Occlusion-aware sensor fusion for early crossing pedestrian detection. [Read here](https://repository.tudelft.nl/islandora/object/uuid%3Ae7b4071b-64ba-4c62-a1f0-02ede4576f8b) - **DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection.** [**Read it here**](https://arxiv.org/abs/2404.03015) - **A Deep Automotive Radar Detector using the RaDelft Dataset** [Read it here](https://arxiv.org/abs/2406.04723) Partners ## News Bridging Innovation and Infrastructure: Perciv AI & TU Delft Drive EVENTS Project to Success [Read more →](https://www.perciv.ai/news/elevating-radar-first-ai-in-the-events-project) March 27, 2026 Perciv AI visited the RDW test track to test high speed ADAS scenarios in a safe and repeatable way. [Read more →](https://www.perciv.ai/news/perciv-ai-test-at-rdw-proving-ground) December 6, 2024 Perciv AI was selected as one of the 50 TOP startups to represent the Netherlands and the biggest tech conference: CES! [Read more →](https://www.perciv.ai/news/perciv-ai-at-ces-2025) December 1, 2024 Perciv AI hires two fresh graduates, Jiaxuan and Simon who wrote there theses at the company! [Read more →](https://www.perciv.ai/news/new-team-members-at-perciv-ai) November 17, 2024