Targeting autonomous vehicle companies that deploy autonomous fleets in real-world environments, Korean vendor Bitsensing has launched its latest 4D imaging radar.
The goal is to allow these autonomous fleet vendors to accelerate a path to commercialization.
Called Air4D, the imaging radar gives companies direct access to the 4D sensor data including the radar raw data outputs. Bitsensing said other solutions currently offer closed systems that limit this ability to get the raw data produced from testing.
Why is raw data important? Bitsensing said it is a critical element to continuously refine perception models, validate performance and accelerate the path from testing to larger-scale fleet deployments for AV companies.
The 4D imaging radar is designed for autonomous AI models whereas most 4D radars are targeted at advanced driver assistance systems (ADAS) functions in passenger vehicles and not for full autonomous driving functions.
Additionally, Bitsensing said that because the Air4D relies on a camera-plus-radar architecture for autonomous vehicles, it enables a path toward lower per-vehicle sensor costs, which could also help with accelerated AV deployment.
Features of the Air4D include:
- Direct velocity per object
- Detection up to 300 m
- Accuracy in nighttime and zero-light environments
- Stability in harsh weather
- Integration with camera sensors
