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 2251–2275 of 2605 papers

TitleStatusHype
Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning—0
Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design—0
Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles—0
CacheMamba: Popularity Prediction for Mobile Edge Caching Networks via Selective State Spaces—0
CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving—0
Calibration of Human Driving Behavior and Preference Using Naturalistic Traffic Data—0
Camera-Based Localization and Enhanced Normalized Mutual Information—0
Camera-Only Bird's Eye View Perception: A Neural Approach to LiDAR-Free Environmental Mapping for Autonomous Vehicles—0
Camera-Radar Perception for Autonomous Vehicles and ADAS: Concepts, Datasets and Metrics—0
Cameras Viewing Cameras Geometry—0
CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems—0
Can CAV Reduce Non-Recurrent Urban Road Congestion?—0
Can Human Drivers and Connected Autonomous Vehicles Co-exist in Lane-Free Traffic? A Microscopic Simulation Perspective—0
Can listening to more neighbours help CAVs be faster and safer?—0
Can Vision-Language Models Understand and Interpret Dynamic Gestures from Pedestrians? Pilot Datasets and Exploration Towards Instructive Nonverbal Commands for Cooperative Autonomous Vehicles—0
Can you see me now? Blind spot estimation for autonomous vehicles using scenario-based simulation with random reference sensors—0
Optimal Lane-Free Crossing of CAVs through Intersections—0
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles—0
CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion—0
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving—0
Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent—0
CatFree3D: Category-agnostic 3D Object Detection with Diffusion—0
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation—0
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction—0
Causal Scene BERT: Improving object detection by searching for challenging groups—0
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Benchmark Results

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