Intelligent systems using sensors and/or machine learning to mitigate wildlife–vehicle collisions: A review, challenges, and new perspectives

I Nandutu, M Atemkeng, P Okouma - Sensors, 2022 - mdpi.com
Worldwide, the persistent trend of human and animal life losses, as well as damage to
properties due to wildlife–vehicle collisions (WVCs) remains a significant source of concerns …

Automatic roadblock identification algorithm for unmanned vehicles based on binocular vision

L Fang, Z Guan, J Li - Wireless Communications and Mobile …, 2021 - Wiley Online Library
In order to improve the accuracy of automatic obstacle recognition algorithm for driverless
vehicles, an automatic obstacle recognition algorithm for driverless vehicles based on …

Multiple obstacle detection for assistance driver system using deep neural networks

Y Fan, L Zhou, L Fan, J Yang - International Conference on Artificial …, 2019 - Springer
Multiple obstacle detection is a challenging problem and has many important applications
including video tracking, intelligence surveillance, robot navigation and autonomous driving …

Automatic Roadblock Identification Algorithm for Unmanned Vehicles Based on Binocular Vision

F Liang, Z Guan, J Li - Wireless Communications & Mobile …, 2021 - search.proquest.com
In order to improve the accuracy of automatic obstacle recognition algorithm for driverless
vehicles, an automatic obstacle recognition algorithm for driverless vehicles based on …

[PDF][PDF] Emerging opportunities for wildlife with

I Silva, JM Calabrese - researchgate.net
Autonomous vehicles (AV) are expected to play a key role in the future of transportation,
introduc-24 ing a disruptive yet potentially beneficial change for vehicle-wildlife interactions …

[CITAS][C] Research Article Automatic Roadblock Identification Algorithm for Unmanned Vehicles Based on Binocular Vision

L Fang, Z Guan, J Li - 2021