Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...

A Smart IoT Enabled End-to-End 3D Object Detection System for Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems, 2022; 1 DOI: 10.1109/TITS.2022.3210490 ...

3D object detection (3DOD) is central to real-world vision systems and a critical component in the development of perception capabilities for autonomous vehicles (AVs) and mobile autonomous robots.

Arxiv – Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving. Abstract 3D object detection is an essential task in autonomous driving. Recent ...

(Mean average precision (mAP) is a metric for evaluating object detection in deep learning.) This achievement is hugely valuable for LiDAR perception as well as 3D mapping for autonomous driving.

Hyderabad: A study based on road conditions in Hyderabad led to the development of a prototype autonomous electric vehicle (AEV) that can detect potholes and other road features in real-time using ...

There was a time when self-driving cars taking over the roads was a distant vision. Today, the situation has changed dramatically. Although autonomous vehicles (AVs) took longer than expected to make ...

LiDAR technology holds strong long-term potential in the automotive sector, with initial adoption focused on premium vehicles and robotaxis. Its rising popularity is driven by its ability to provide ...

Real-world vision systems rely on 3D object detection, which is critical in developing perception capabilities for AVs and mobile autonomous robots. But what’s the best approach ...