Vol. 251 | 2025.10.07

Category	Company	Article
Lidar	Aeva	Aeva Introduces AevaScenes, the First Open-Access FMCW 4D LiDAR and Camera Dataset for Autonomous Vehicle Research
Autonomous Trucking	Aurora	Aurora Innovation at Evercore ISI Forum: Strategic Moves in Autonomous Trucking
ADAS	LG Innotek	LG Innotek Expands into ADAS, Humanoid, and UAM Sectors
Autonomous Driving	DoorDash	DoorDash launches delivery robot in latest push into autonomous technology
Autonomous trucking	Volvo	The self-driving future is getting closer at Volvo

Aeva introduced AevaScenes, the first open dataset combining synchronized FMCW 4D LiDAR and camera data with velocity, segmentation, and lane annotations.
The dataset enables research in detection, tracking, scene flow, and motion forecasting for autonomous driving.
It includes 100 sequences and 10,000 frames captured in the San Francisco Bay Area across urban and highway conditions.
Data were collected with six FMCW LiDAR sensors and six 4K RGB cameras, covering wide and narrow fields of view.
Ultra-long range annotations are provided for up to 400 meters, supporting advanced perception tasks.
The dataset totals 200 GB and is freely available for academic and non-commercial use at scenes.aeva.com.
Aeva emphasizes the benchmark nature of this dataset in advancing LiDAR adoption for autonomy research.

Aurora surpassed 50,000 fully driverless miles on the Dallas-Houston route.
The company holds $1.3 billion in liquidity, ensuring operations into Q2 2027.
Aurora targets $2–3 billion in revenue by 2028 within a $50 billion serviceable market.
Partnerships with PACCAR, Volvo, and Movio are central to scaling operations and hardware integration.
Initial driverless launch customers include Hirschbach and Werner.
Aurora plans Sun Belt expansion by 2026 and nationwide operations by 2030.
A driver-as-a-service model will begin in 2027 with third-generation hardware deployment

LG Innotek aims to derive 25% of sales from new businesses including AD/ADAS, robotics, and UAM by 2030.
The company targets 5 trillion KRW from AD/ADAS components and 3 trillion KRW from high-value substrates.
A strategic partnership with Aeva positions LG Innotek as a supplier of FMCW LiDAR modules for 2028 mass production.
LG Innotek invested in Smart Radar System, securing 4.9% equity to enhance 4D radar capabilities.
The company is expanding into vehicle AP modules, with global demand expected to grow from 33 million to 113 million units by 2030.
A collaboration with Boston Dynamics will develop vision sensing modules for next-generation humanoid robots.
CEO Moon emphasizes transforming into a total solution provider across mobility sensing and semiconductor components.

DoorDash announced Dot, an autonomous delivery robot capable of 20 mph on streets, sidewalks, and parking lots.
Dot can carry up to 30 pounds or six pizza boxes, addressing complex food delivery needs.
The robot is equipped with eight cameras and three LiDAR sensors for navigation in crowded urban environments.
A SmartScale feature detects missing items, reducing complaints by up to 30% in testing.
DoorDash tested Dot in Phoenix and plans to expand to other metropolitan areas.
The platform integrates with the company’s broader autonomous delivery initiatives, including drones and sidewalk robots.
Co-founder Stanley Tang highlighted autonomy as essential for scaling delivery operations.

Volvo is shifting from selling trucks to providing transportation services with autonomous vehicles at the core of its new strategy.
Volvo Autonomous Solutions, led by Nils Jaeger and CTO Ingo Stürmer, is initially targeting mining and highway routes for autonomous truck deployment.
The company is building a full ecosystem that combines vehicles, virtual drivers, fleet management, terminals, and payment systems.
Partnerships are central, with Aurora as a key collaborator and Volvo preparing trucks to integrate with multiple virtual drivers.
Autonomous trucks are expected to cut costs, reduce variability, and improve delivery reliability across logistics networks.
Terminals will emerge as hubs for transshipment, energy management, and logistics optimization, especially for electric trucks.
The transition will impact long-haul operators but create new opportunities in short-haul transport, terminal services, and specialized logistics.
Regulatory clarity and long-term permits will determine adoption speed, with the US currently ahead of Europe in enabling autonomous freight corridors.

* Contents above are the opinion of ChatGPT, not an individual nor company

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