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

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Showing 3901–3950 of 6092 papers

TitleStatusHype
Dual-Domain Homogeneous Fusion with Cross-Modal Mamba and Progressive Decoder for 3D Object Detection—0
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation—0
DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving—0
DuET: Dual Incremental Object Detection via Exemplar-Free Task Arithmetic—0
Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving—0
Dynamic Compression Ratio Selection for Edge Inference Systems with Hard Deadlines—0
Dynamic Input for Deep Reinforcement Learning in Autonomous Driving—0
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving—0
Dynamic Point Cloud Denoising via Gradient Fields—0
Dynamic Prioritization of Emergency Vehicles For Self-Organizing Traffic using VTL+EV *—0
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks—0
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems—0
DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM—0
DynOcc: Learning Single-View Depth from Dynamic Occlusion Cues—0
DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models—0
DyRoNet: Dynamic Routing and Low-Rank Adapters for Autonomous Driving Streaming Perception—0
DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos—0
DyTTP: Trajectory Prediction with Normalization-Free Transformers—0
EANet: Expert Attention Network for Online Trajectory Prediction—0
EAN-MapNet: Efficient Vectorized HD Map Construction with Anchor Neighborhoods—0
Easy-Poly: A Easy Polyhedral Framework For 3D Multi-Object Tracking—0
ECG-EmotionNet: Nested Mixture of Expert (NMoE) Adaptation of ECG-Foundation Model for Driver Emotion Recognition—0
Echo Planning for Autonomous Driving: From Current Observations to Future Trajectories and Back—0
EC-IoU: Orienting Safety for Object Detectors via Ego-Centric Intersection-over-Union—0
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey—0
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