Vision|Based Autonomous Driving

Autonomous driving in traffic with end-to-end vision-based deep ...

Abstract. This paper presents a shallow end-to-end vision-based deep learning approach for autonomous vehicle driving in traffic scenarios. The ...

Vision-based 3D occupancy prediction in autonomous driving - arXiv

Vision-based 3D occupancy prediction, which predicts the spatial occupancy status and semantics of 3D voxel grids around the autonomous vehicle ...

The Role of Computer Vision for Smart and Safe Autonomous Driving

Autonomous driving utilizes computer vision to monitor and track the positions and movements of other vehicles on the road, allowing the self- ...

Vision-Based Autonomous Driving: A Hierarchical Reinforcement ...

Vision-Based Autonomous Driving: A Hierarchical Reinforcement Learning Approach. Abstract: Human drivers have excellent perception and reaction ...

Machine vision-based autonomous road hazard avoidance system ...

The resolution of traffic congestion and personal safety issues holds paramount importance for human's life. The ability of an autonomous ...

The Future of Autonomous Vehicles: How Computer Vision is ...

The Role of Computer Vision in Autonomous Driving · Sensing the Environment: Cameras mounted on the vehicle capture a continuous stream of images ...

Vision-based Autonomous Driving for Unstructured Environments ...

Title:Vision-based Autonomous Driving for Unstructured Environments Using Imitation Learning ... Abstract:Unstructured environments are difficult ...

Mobileye | Driver Assist and Autonomous Driving Technologies

Leading the evolution of automobility from advanced driver-assistance systems to autonomous driving through world-renowned expertise in artificial ...

Vision-Based Autonomous Driving: A Model Learning Approach

We present an integrated approach for perception and control for an autonomous vehicle and demonstrate this approach in a high-fidelity urban driving simulator.

Explainability of Deep Vision-Based Autonomous Driving Systems

In particular, self-driving systems have to simultaneously solve intertwined tasks of very different natures, including perception tasks, motion ...

SwRI develops off-road autonomous driving tools focused on ...

Researchers develop powerful vision-based autonomy alternative to lidar, radar, GPS.

Computer vision challenges in autonomous vehicles: The future of AI

A computer vision model has to be able to make accurate predictions and estimations based ... Self-driving cars use computer vision to ...

VLADR: Vision and Language for Autonomous Driving and Robotics

This workshop is expected to spotlight the intricate arena of data-centric autonomous driving, emphasizing vision-based techniques.

Vision-Based Autonomous Vehicle Systems Based on Deep Learning

In this systematic review paper, we broadly discussed the literature of deep learning for AVS from the past decade for real-life implementation in core fields.

Computer vision-based scalable autonomous driving solutions

This paper presents an in-depth exploration of scalable autonomous driving solutions leveraging advanced computer vision techniques.

A Vision for Smarter Safer-Autonomous Vehicles - MSU Mobility

At Michigan State University, researchers are making autonomous driving smarter and safer by perfecting computer vision and "superhuman" sensing.

Wayve: Pioneering a New Era for Automated Driving

Next-gen autonomous driving technology based on end-to-end AI · Fleet learning ... We're proud to be backed by investors who share our vision · Data ...

How Does a Self-Driving Car See? - NVIDIA Blog

Building reliable vision capabilities for self-driving cars has been a major development hurdle. ... It's also more difficult for camera-based ...

Recent advances in reinforcement learning-based autonomous ...

Autonomous driving (AD) holds the potential to revolutionize transportation efficiency, but its success hinges on robust behavior planning (BP) mechanisms.

Vision Based Self-driving Car

Ordinary car detection: Find a car! It's localized in the image by a red bounding box. • Direct perception: The car is in the right lane; 16 meters ahead.