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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 326–350 of 514 papers

TitleStatusHype
Learning to Localize Using a LiDAR Intensity Map—0
Quantum Optical Convolutional Neural Network: A Novel Image Recognition Framework for Quantum Computing—0
Sampling Training Data for Continual Learning Between Robots and the Cloud—0
An Empirical Review of Adversarial DefensesCode0
Predictive Collision Management for Time and Risk Dependent Path Planning—0
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges—0
Deep Learning for Flight Demand Forecasting—0
Motion Prediction on Self-driving Cars: A Review—0
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training—0
GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous Probabilistic Integrity Verification Inside Trusted Execution Environment—0
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image CompositingCode0
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking—0
Development of Open Informal Dataset Affecting Autonomous Driving—0
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles—0
What is the Best Grid-Map for Self-Driving Cars Localization? An Evaluation under Diverse Types of Illumination, Traffic, and Environment—0
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective—0
Embedded Development Boards for Edge-AI: A Comprehensive Report—0
LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks—0
SoDA: Multi-Object Tracking with Soft Data Association—0
Attention-based 3D Object Reconstruction from a Single Image—0
Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts—0
Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation—0
Fully Dynamic Inference with Deep Neural Networks—0
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories—0
Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning—0
Show:102550
← PrevPage 14 of 21Next →

No leaderboard results yet.