SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2126–2150 of 2605 papers

TitleStatusHype
Quantum-tunnelling deep neural network for optical illusion recognition—0
Querying Labeled Time Series Data with Scenario Programs—0
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation—0
R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes—0
Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles—0
Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar—0
Radar Guided Dynamic Visual Attention for Resource-Efficient RGB Object Detection—0
Radars for Autonomous Driving: A Review of Deep Learning Methods and Challenges—0
RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion—0
RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution—0
Range and Angle Estimation with Spiking Neural Resonators for FMCW Radar—0
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning—0
Rank-One Prior: Toward Real-Time Scene Recovery—0
Rare Collision Risk Estimation of Autonomous Vehicles with Multi-Agent Situation Awareness—0
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling—0
Ray Based Distributed Autonomous Vehicle Research Platform—0
Reactive motion planning with probabilistic safety guarantees—0
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios—0
Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model—0
Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution—0
Real-Time Anomaly Detection and Reactive Planning with Large Language Models—0
Real-time decision-making for autonomous vehicles under faults—0
Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach—0
Real-time Eco-Driving Control in Electrified Connected and Autonomous Vehicles using Approximate Dynamic Programming—0
Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified