Perception and sensing for autonomous vehicles under adverse weather conditions: A survey

Y Zhang, A Carballo, H Yang, K Takeda - ISPRS Journal of …, 2023 - Elsevier
Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …

Surround-view fisheye camera perception for automated driving: Overview, survey & challenges

VR Kumar, C Eising, C Witt… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Surround-view fisheye cameras are commonly used for near-field sensing in automated
driving. Four fisheye cameras on four sides of the vehicle are sufficient to cover 360° around …

Uncertainties in onboard algorithms for autonomous vehicles: Challenges, mitigation, and perspectives

K Yang, X Tang, J Li, H Wang, G Zhong… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Autonomous driving is considered one of the revolutionary technologies sha** humanity's
future mobility and quality of life. However, safety remains a critical hurdle in the way of …

Spatio-contextual deep network-based multimodal pedestrian detection for autonomous driving

K Dasgupta, A Das, S Das… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Pedestrian Detection is the most critical module of an Autonomous Driving system. Although
a camera is commonly used for this purpose, its quality degrades severely in low-light night …

Tiledsoilingnet: Tile-level soiling detection on automotive surround-view cameras using coverage metric

A Das, P Křížek, G Sistu, F Bürger… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
Automotive cameras, particularly surround-view cameras, tend to get soiled by mud, water,
snow, etc. For higher levels of autonomous driving, it is necessary to have a soiling detection …

Revisiting modality imbalance in multimodal pedestrian detection

A Das, S Das, G Sistu, J Horgan… - … on Image Processing …, 2023 - ieeexplore.ieee.org
Multimodal learning, particularly for pedestrian detection, has recently received emphasis
due to its capability to function equally well in several critical autonomous driving scenarios …

Minimizing Occlusion Effect on Multi-View Camera Perception in BEV with Multi-Sensor Fusion

S Kumar, H Truong, S Sharma, G Sistu… - arxiv preprint arxiv …, 2025 - arxiv.org
Autonomous driving technology is rapidly evolving, offering the potential for safer and more
efficient transportation. However, the performance of these systems can be significantly …

Applications of computer vision in autonomous vehicles: Methods, challenges and future directions

X Dong, ML Cappuccio - arxiv preprint arxiv:2311.09093, 2023 - arxiv.org
Autonomous vehicle refers to a vehicle capable of perceiving its surrounding environment
and driving with little or no human driver input. The perception system is a fundamental …

Scalable Data Set Distillation for the Development of Automated Driving Functions

P Rigoll, L Ries, E Sax - 2022 IEEE 25th International …, 2022 - ieeexplore.ieee.org
Since highly automated driving functions are obligated to work safely without human
interference, careful and comprehensive testing is mandatory. Due to the open world …

Detection of direct sun glare on drivers from point clouds

SM González-Collazo, P del Río-Barral, J Balado… - Remote Sensing, 2022 - mdpi.com
Sunlight conditions can reduce drivers' visibility, which is a safety concern on road networks.
This research introduces a method to study sun glare incidence in road environments. Sun …