SOTAVerified

Self-Driving Cars

Self-driving cars : the task of making a car that can drive itself without human guidance.

( Image credit: Learning a Driving Simulator )

Papers

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Showing 251–300 of 514 papers

TitleStatusHype
Robusto-1 Dataset: Comparing Humans and VLMs on real out-of-distribution Autonomous Driving VQA from Peru—0
RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics—0
Run-Time Monitors Design for Adaptive Radar Systems: A Practical Framework—0
A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability—0
Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation—0
Sampling Training Data for Continual Learning Between Robots and the Cloud—0
Satellite Navigation for the Age of Autonomy—0
Scaling Beyond Bandwidth Limitations: Wireless Control With Stability Guarantees Under Overload—0
Scene Graph Generation with Geometric Context—0
Seamless Multimodal Biometrics for Continuous Personalised Wellbeing Monitoring—0
Security Analysis of Capsule Network Inference using Horizontal Collaboration—0
"Seeing Sound": Audio Classification with the Wigner-Wille Distribution and Convolutional Neural Networks—0
Seeing the Unseen: Errors and Bias in Visual Datasets—0
Self-Supervised Learning of Depth and Camera Motion from 360° Videos—0
Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry—0
Semantic Adversarial Deep Learning—0
Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles—0
Semantic Instance Meets Salient Object: Study on Video Semantic Salient Instance Segmentation—0
Semantic Segmentation With Multi Scale Spatial Attention For Self Driving Cars—0
Sequential Attacks on Agents for Long-Term Adversarial Goals—0
Small, but important: Traffic light proposals for detecting small traffic lights and beyond—0
S-NeRF: Neural Radiance Fields for Street Views—0
SoDA: Multi-Object Tracking with Soft Data Association—0
SoftCTRL: Soft conservative KL-control of Transformer Reinforcement Learning for Autonomous Driving—0
Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimationand 3D Object Detection—0
Sparse LiDAR Assisted Self-supervised Stereo Disparity Estimation—0
Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detection—0
StarNet: Targeted Computation for Object Detection in Point Clouds—0
Stochastic Finite State Control of POMDPs with LTL Specifications—0
Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles—0
Synthetic Examples Improve Generalization for Rare Classes—0
TamperNN: Efficient Tampering Detection of Deployed Neural Nets—0
Teaching AI, Ethics, Law and Policy—0
Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction Using Large Data Sets—0
Mitigating Deep Learning Vulnerabilities from Adversarial Examples Attack in the Cybersecurity Domain—0
The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law—0
Threat Detection In Self-Driving Vehicles Using Computer Vision—0
Time-series Imputation of Temporally-occluded Multiagent Trajectories—0
To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles—0
To Learn or Not to Learn: Visual Localization from Essential Matrices—0
Towards AIOps in Edge Computing Environments—0
Towards Assume-Guarantee Profiles for Autonomous Vehicles—0
Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization—0
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision—0
Towards Measuring Ethicality of an Intelligent Assistive System—0
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies—0
Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures—0
Towards self-attention based visual navigation in the real world—0
Towards Self-Supervised High Level Sensor Fusion—0
Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models—0
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