SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle 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: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3926–3950 of 6092 papers

TitleStatusHype
Edge-Cloud Collaborative Motion Planning for Autonomous Driving with Large Language Models—0
EdgeConv with Attention Module for Monocular Depth Estimation—0
Edge Detectors Can Make Deep Convolutional Neural Networks More Robust—0
Edge Device Deployment of Multi-Tasking Network for Self-Driving Operations—0
Edge Network-Assisted Real-Time Object Detection Framework for Autonomous Driving—0
EdgeServe: A Streaming System for Decentralized Model Serving—0
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles—0
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation—0
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving—0
Effectiveness of Function Matching in Driving Scene Recognition—0
Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles—0
Effects of Explanation Specificity on Passengers in Autonomous Driving—0
Efficacy of Pixel-Level OOD Detection for Semantic Segmentation—0
Efficient Context Integration through Factorized Pyramidal Learning for Ultra-Lightweight Semantic Segmentation—0
Efficient Deep Neural Networks—0
Efficient Driving Behavior Narration and Reasoning on Edge Device Using Large Language Models—0
Efficient Event-based Semantic Segmentation with Spike-driven Lightweight Transformer-based Networks—0
Efficient Fusion and Task Guided Embedding for End-to-end Autonomous Driving—0
Efficient LiDAR Odometry for Autonomous Driving—0
Efficiently Troubleshooting Image Segmentation Models with Human-In-The-Loop—0
Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving—0
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation—0
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation—0
Efficient On-Chip Implementation of 4D Radar-Based 3D Object Detection on Hailo-8L—0
Efficient Perception, Planning, and Control Algorithm for Vision-Based Automated Vehicles—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified