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

Showing 4150 of 2605 papers

TitleStatusHype
Flow: A Modular Learning Framework for Mixed Autonomy TrafficCode2
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera FusionCode2
GPT-Driver: Learning to Drive with GPTCode2
A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of VehiclesCode2
HiVT: Hierarchical Vector Transformer for Multi-Agent Motion PredictionCode2
LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of VehiclesCode2
Certified Human Trajectory PredictionCode2
nuScenes: A multimodal dataset for autonomous drivingCode2
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam VideosCode2
DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social ExperiencesCode2
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Benchmark Results

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