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 51–100 of 514 papers

TitleStatusHype
DiffSF: Diffusion Models for Scene Flow EstimationCode1
Multi-Object Tracking with Camera-LiDAR Fusion for Autonomous Driving—0
Improved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection—0
Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test—0
Distilling Adversarial Robustness Using Heterogeneous Teachers—0
Multi-class Temporal Logic Neural Networks—0
Enhanced Deep Q-Learning for 2D Self-Driving Cars: Implementation and Evaluation on a Custom Track Environment—0
Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detection—0
Cross-Layer Performance Evaluation of C-V2X—0
Enhancing Surveillance Camera FOV Quality via Semantic Line Detection and Classification with Deep Hough Transform—0
DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving—0
Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement LearningCode1
Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving CarsCode0
Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-makingCode2
Deep Perspective Transformation Based Vehicle Localization on Bird's Eye ViewCode1
Traffic Sign Recognition Using Local Vision Transformer—0
Dialogue-based generation of self-driving simulation scenarios using Large Language ModelsCode1
LaksNet: an end-to-end deep learning model for self-driving cars in Udacity simulator—0
Pre-Training LiDAR-Based 3D Object Detectors Through ColorizationCode0
F^2AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns—0
Extract-Transform-Load for Video StreamsCode0
Towards Long-Range 3D Object Detection for Autonomous Vehicles—0
CPIPS: Learning to Preserve Perceptual Distances in End-to-End Image Compression—0
Maximum diffusion reinforcement learningCode1
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents—0
Detecting and Mitigating System-Level Anomalies of Vision-Based ControllersCode0
Unsupervised Domain Adaptation for Self-Driving from Past Traversal FeaturesCode0
Spatial-Assistant Encoder-Decoder Network for Real Time Semantic SegmentationCode1
PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban ScenesCode2
DAD++: Improved Data-free Test Time Adversarial DefenseCode0
R-C-P Method: An Autonomous Volume Calculation Method Using Image Processing and Machine Vision—0
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models—0
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic SegmentationCode1
LiDAR View Synthesis for Robust Vehicle Navigation Without Expert LabelsCode1
Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise—0
Small, but important: Traffic light proposals for detecting small traffic lights and beyond—0
An Estimator for the Sensitivity to Perturbations of Deep Neural Networks—0
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving CarsCode1
Introducing Risk Shadowing For Decisive and Comfortable Behavior Planning—0
Human Trajectory Forecasting with Explainable Behavioral Uncertainty—0
Mass-Producing Failures of Multimodal Systems with Language ModelsCode1
Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities—0
AutoExp: A multidisciplinary, multi-sensor framework to evaluate human activities in self-driving cars—0
Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence—0
Pedestrian detection with high-resolution event camera—0
Improving Defensive Distillation using Teacher Assistant—0
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance FieldsCode1
Evil from Within: Machine Learning Backdoors through Hardware Trojans—0
Self-Supervised Learning based Depth Estimation from Monocular ImagesCode0
Model-Based Reinforcement Learning with Isolated ImaginationsCode1
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