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 401–425 of 514 papers

TitleStatusHype
Online Monitoring for Neural Network Based Monocular Pedestrian Pose Estimation—0
On the Interplay between Self-Driving Cars and Public Transportation—0
On the Theory of Reinforcement Learning with Once-per-Episode Feedback—0
Open-World Active Learning with Stacking Ensemble for Self-Driving Cars—0
Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering—0
OTFS -- A Mathematical Foundation for Communication and Radar Sensing in the Delay-Doppler Domain—0
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles—0
PathFinder: Attention-Driven Dynamic Non-Line-of-Sight Tracking with a Mobile Robot—0
Pedestrian detection with high-resolution event camera—0
Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights—0
Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images—0
Pixel Invisibility: Detecting Objects Invisible in Color Images—0
Pixel-wise Segmentation of Street with Neural Networks—0
Playing with Embeddings : Evaluating embeddings for Robot Language Learning through MUD Games—0
PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds—0
Predictive Collision Management for Time and Risk Dependent Path Planning—0
Probabilistic Semantic Mapping for Urban Autonomous Driving Applications—0
Pseudo-labels for Supervised Learning on Dynamic Vision Sensor Data, Applied to Object Detection under Ego-motion—0
Pseudo-LiDAR Based Road Detection—0
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution—0
Pyramid Transformer for Traffic Sign Detection—0
Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities—0
Quantum Optical Convolutional Neural Network: A Novel Image Recognition Framework for Quantum Computing—0
R-C-P Method: An Autonomous Volume Calculation Method Using Image Processing and Machine Vision—0
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and IdentificationCode0
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