Detection of Active Emergency Vehicles using Per-Frame CNNs and Output Smoothing

M Fan, C Bidstrup, Z Su, J Owens, G Yang… - arXiv preprint arXiv …, 2022 - arxiv.org
While inferring common actor states (such as position or velocity) is an important and well-
explored task of the perception system aboard a self-driving vehicle (SDV), it may not always …

Deepsignals: Predicting intent of drivers through visual signals

D Frossard, E Kee, R Urtasun - 2019 International Conference …, 2019 - ieeexplore.ieee.org
Detecting the intention of drivers is an essential task in self-driving, necessary to anticipate
sudden events like lane changes and stops. Turn signals and emergency flashers …

Robust detection, assocation, and localization of vehicle lights: A context-based cascaded CNN approach and evaluations

A Gopalkrishnan, R Greer, M Keskar… - arXiv preprint arXiv …, 2023 - arxiv.org
Vehicle light detection is required for important downstream safe autonomous driving tasks,
such as predicting a vehicle's light state to determine if the vehicle is making a lane change …

Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object …

A Martinez Seras, J Del Ser… - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Besides performance, efficiency is a key design driver of technologies supporting vehicular
perception. Indeed, a well-balanced trade-off between performance and energy …

Automotive Object Detection via Learning Sparse Events by Temporal Dynamics of Spiking Neurons

H Zhang, L Leng, K Che, Q Liu, J Cheng, Q Guo… - arXiv preprint arXiv …, 2023 - arxiv.org
Event-based sensors, with their high temporal resolution (1us) and dynamical range
(120dB), have the potential to be deployed in high-speed platforms such as vehicles and …

A lightweight CNN model for refining moving vehicle detection from satellite videos

R Chen, X Li, S Li - IEEE Access, 2020 - ieeexplore.ieee.org
With the recent development of earth observation technology, the satellites have obtained
the ability to capture city-scale videos, which enable potential applications in intelligent …

Cutransnet: Transformers to Make Strong Encoders for Multi-Task Vision Perception of Autonomous Driving

J Li, X Ke, Z Wang, JC Wan… - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
In autonomous driving, perception plays a critical role as it serves as a fundamental
requirement for both planning and control. Currently, most perception tasks are processed …

Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models

H Cui, FC Chou, J Charland… - arXiv preprint arXiv …, 2020 - arxiv.org
Object detection is a critical component of a self-driving system, tasked with inferring the
current states of the surrounding traffic actors. While there exist a number of studies on the …

Traffic sign detection with event cameras and DCNN

P Wzorek, T Kryjak - 2022 Signal Processing: Algorithms …, 2022 - ieeexplore.ieee.org
In recent years, event cameras (DVS-Dynamic Vision Sensors) have been used in vision
systems as an alternative or supplement to traditional cameras. They are characterised by …

Event-based vision enhanced: A joint detection framework in autonomous driving

J Li, S Dong, Z Yu, Y Tian… - 2019 ieee international …, 2019 - ieeexplore.ieee.org
Due to the high-speed motion blur and low dynamic range, conventional frame-based
cameras have encountered an important challenge in object detection, especially in …