FWL-ToPM Enables Real-Time Full-Waveform LiDAR Transformers
FWL-ToPM provides over 8x speedup and nearly 9-point F1 gain on Ghost-FWL benchmark.
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30 stories, newest first · one card per story
Stories tagged #autonomous-driving
Safety4DM vision-language framework for risk-aware dynamic maps in collaborative driving
Fine-tuned Qwen3-VL-4B reaches 89.83% accuracy on RoadRisk dataset with SafeStep interface achieving over 93% query accuracy.
Q-adaptive guidance improves reasoning vision-language-action driving
Frozen Alpamayo 1.5 with the method scores 8.135159 on the hidden Waymo set, above 8.079.
HPNAS-RL jointly searches RL architectures and hyperparameters for driving
In a driving simulator the joint search beat standalone NAS, producing higher-reward policies with fewer parameters.
OSWAM achieves one-step action generation for driving
OSWAM generates high-quality actions for autonomous driving and control in a single diffusion step using imagination tokens.
inDrive plans 2027 Kazakhstan robotaxi tests with Pony.ai and Nvidia
Supervised Astana tests are slated for the first half of 2027 using Pony.ai Gen-7 vehicles and Nvidia systems.
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GeoState separates scene geometry from camera motion in 3D world models
Predicted states can be decoded under predicted or specified cameras without per-frame scale alignment.
SafeDriveVLA: Navigation-Conditioned World Model Dreaming for Conflict-Aware End-to-End Autonomous Driving
SafeDriveVLA uses world-model dreaming to refuse unsafe driving instructions, cutting collisions from 60 to 38.
VITAL: From Visual Motion to Precise Action
VITAL turns visual motion into driving actions, scoring 90.8 PDMS on NAVSIM with one denoising step.
Drive3R: Block-wise Streaming Geometric Foundation Models for Autonomous Driving
Drive3R streams block-wise 3D reconstruction for driving and sets new nuScenes, KITTI, and Waymo results.
Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents
NVIDIA showed developers using frontier AI agents with Omniverse libraries to build robotics, driving, and digital-twin simulations.
SimVTA: Simulation-Grounded Video-Trajectory Alignment for Driving World Action Models
SimVTA raises a driving world model's NAVSIM v1 PDMS from 86.2 to 91.3.
Do Better Visual Representations Always Lead to Better End-to-End Autonomous Driving?
ViRA aligns visual foundation features for end-to-end driving, and ViRA-Diffusion scores 92.3 EPDMS on NAVSIM.
VeriFine: Scaling Verification for Self-Improvement in Embodied Reasoning
VeriFine co-evolves an embodied policy, curriculum, and judge so verification keeps pace with new failure patterns.
Beyond Waypoint Regression: Query-Based Cost Learning over Reachable Ego Futures for End-to-End Driving
Query-based cost learning over reachable ego futures improves end-to-end driving collision rates on nuScenes and real logs.
GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives
GroundingPI, a 4B grounding model, sets a new state of the art across 34 benchmarks and improves robotics and driving.
DyRAD: Radar Novel View Synthesis for Dynamic Driving Scenes
DyRAD renders dynamic radar range-azimuth-Doppler views, recovering 90.7% of RADIal detections versus 26.9%.
TrackFlood: Relocating Latency Attacks from NMS-Free Detectors to Real-Time Trackers
TrackFlood overloads real-time trackers behind NMS-free detectors, causing deadline misses at higher budgets.
Poster: FedWM-Guard: Thwarting Imagination Poisoning in Federated World Model-based Autonomous Driving
A poster proposes FedWM-Guard to stop imagination poisoning of federated autonomous-driving world models.
AnchorReasoning: A Visual Grounding and Causal Reasoning Dataset in Long-Tail Autonomous Driving Scenarios
AnchorReasoning provides visually grounded reasoning data for long-tail autonomous driving across 416,119 annotated frames.
GPT-6 Astra has gained the ability to drive a car
DrivingBench demonstrates that GPT-6 Astra can control a real Toyota Corolla on a test course.
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ODPure: Backdoor Purification for Object Detection via Ensemble Corruption Consensus
ODPure purifies backdoor triggers in object detectors via corruption, reconstruction, and voting without discarding models.
D-JEPA: A Decision-Aligned Latent World Model
D-JEPA aligns latent world-model distances with executed outcomes, improving robot and driving action selection.
OPTED: On-Policy Fine-Tuning for End-to-End Driving using a Render-Free Teacher
OPTED decouples RL teacher training from closed-loop student post-training for end-to-end driving, raising TransFuser and VaVAM driving scores 1.6x and 9.5x.